As a Software Engineer, you’ll work side-by-side with teammates to build real-world applications that power a global trading firm. You’ll work on solutions that enable us to react to markets at lightning-fast speeds. Your work will be the magic behind the scenes, enabling our teams to make split-second decisions with precision and confidence. By working in an interdisciplinary manner and innovating and optimizing code, you will keep our firm competitive in the ever-evolving financial markets.

Optiver is building with cutting edge AI technology in the most competitive, data rich landscapes in the world: financial markets. That means no two days are the same, and every day brings new, exciting technical challenges to solve.

What you’ll do

Your onboarding

In the first eight weeks, you will participate in Optiver’s comprehensive

and be equipped with the knowledge needed to make an impact the moment you join your team. The comprehensive training covers trading theory and Optiver’s tech stack to hone your skills for your role. In addition, you will be paired with a dedicated mentor who will empower you to take ownership of your work and make a difference at the firm.

Your responsibilities

• Deep dive into trading fundamentals, from theoretical concepts to financial markets, strategies, AI-enabled tools and cutting-edge technology.
• Collaborate closely with best-in-class engineers, traders, and business teams to develop simple, well-architected solutions that meet the needs of our business.
• Tackle complex, real-world problems to enhance your critical thinking and problem-solving skills.
• Push your limits and accelerate your growth in a fascinating and high-performing environment.

What you’ll get

You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• Highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are:

• A student pursuing a bachelor’s, master’s, or PhD in Computer Science or Computer Engineering
• On track to graduate between December 2026 to June 2027
• Passionate for writing clean code, well-architected systems, and continuous improvement
• Proficient in coding languages such as C++, Python, or Java
• A student with strong engineering instincts and a solid understanding of computer science fundamentals
• Driven by an entrepreneurial mindset and curious about how tech powers the financial industry
• A natural problem-solver with a sharp, analytical approach to tackling challenges
• A collaborative teammate comfortable working with developers, traders and business teams

Who we are: 

Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company. 

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics. Optiver is supportive of US immigration sponsorship for this role.

Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a technology graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.

As a Quantitative Intern at Optiver, you'll work alongside traders, researchers, and engineers to solve complex problems in global financial markets. You'll learn how quantitative research, data, technology, and AI-enabled tools come together to identify opportunities, test ideas, and drive decision-making in rapidly evolving markets. Through hands-on project work, mentorship, and training led by Optiver's dedicated Education team, you'll build the foundation needed to make an impact. 

As part of the interview process, we'll assess your strengths, interests, and skills to determine the best fit, and you may be considered for either a Quant Trading or Quant Research internship offer. 

What You'll Do:  

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a combination of structured education, market simulations, and exposure to modern research and AI tools, you'll develop the skills needed to apply quantitative thinking to real-world challenges. 

You'll have the opportunity to: 

• Develop a deeper understanding of financial markets, quantitative trading, and the research and technology that power them. 
• Analyze complex datasets, investigate market behavior, and uncover insights that inform decision-making. 
• Apply your quantitative and programming skills to solve real trading challenges and build impactful tools. 
• Strengthen your decision-making skills through live market simulations and hands-on experience. 
• Explore how AI tools can accelerate research, experimentation, and quantitative decision-making 
• Learn directly from experienced traders and researchers in a collaborative, high-performance environment. 

What You'll Get: 

You'll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you'll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets. 

In addition, you'll receive: 

• The opportunity to work alongside best-in-class professionals from over 40 different countries. 
• The opportunity to earn a return internship or full-time offer in Chicago, Austin, New York City, or Amsterdam based on performance. 
• A highly competitive internship compensation package. 
• Optiver-covered flights, living accommodations, and commuting stipends. 
• Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more. 

Who You Are: 

• Currently pursuing a Bachelor's or Master's degree in a STEM field. 
• Expected graduation between December 2027 and June 2029, with sophomore standing or higher.  
• Available to intern during Summer 2027. 
• Open to full-time opportunities upon graduation. 
• Strong quantitative, analytical, and logical reasoning skills. 
• Solid foundation in mathematics, probability, and statistics. 
• Experience with programming or scripting in Python or another language. 
• Strong interest in financial markets, quantitative research, and decision-making. 
• Excited to work in a fast-paced, collaborative environment. 
• Fluent in English with strong written and verbal communication skills. 

Who We Are:

Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company. 

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics. 

Optiver is supportive of US immigration sponsorship for this role. 

As a Software Engineer Intern, you’ll work side-by-side with your mentor and teammates to build real-world applications that power a global trading firm. Your projects will be scoped based on your team’s real needs — not hypothetical tasks — and your mentor will be fully invested in helping you build high-quality software that’s designed to last. You’ll contribute to meaningful projects solving trading problems and improving the performance, reliability, and scalability of our systems — and you’ll see your code hit production in real time.

Optiver is building with cutting edge AI technology in the most competitive, data rich landscapes in the world: financial markets. That means no two days are the same, and every day brings new, exciting technical challenges to solve.

This opportunity is also available in our Austin office —

. 

What you’ll do:

Our internship is designed for fast thinkers with a critical mindset and a drive to solve tough problems. You’ll experience what it’s like to be a full-time engineer at a leading trading firm – working on projects that push the limits of performance, efficiency, and real-world impact. Mentored by Optiver engineers, our program gives you the opportunity to:

• Deep dive into trading fundamentals, from theoretical concepts to financial markets, strategies, AI-enabled tools and cutting-edge technology.
• Collaborate closely with best-in-class engineers, traders, and business teams to develop, test, and ship your code to production.
• Tackle complex, real-world problems to enhance your critical thinking and problem-solving skills.
• Push your limits and accelerate your growth in a fascinating and high-performing environment.

What you’ll get:

You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly-competitive internship compensation package
• Optiver-covered flights, living accommodations, and commuting stipends
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are:

• A student pursuing a bachelor’s, master’s, or PhD in Computer Science or Computer Engineering
• On track to graduate between December 2027 to June 2028, with junior standing or higher
• Passionate for writing clean code, well-architected systems, and continuous improvement
• Proficient in coding languages such as C++, Python, or Java
• A student with strong engineering instincts and a solid understanding of computer science fundamentals
• Driven by an entrepreneurial mindset and curious about how tech powers the financial industry
• A natural problem-solver with a sharp, analytical approach to tackling challenges
• A collaborative teammate comfortable working with developers, traders and business teams

Who we are: 

Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company. 

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics. Optiver is supportive of US immigration sponsorship for this role. 

Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a technology graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.

Systems Architect, HPC & Reliability

Location: In-person, San Francisco (Relocation Supported) Type: Full-time | Competitive Pay + Equity Start Date: ASAP

What You'll Own

You will own the reliability layer: the failure taxonomies, the telemetry and log signals that matter, and the fault tolerance architecture behind our models. You decide what a failing GPU or a degrading link looks like in the data, and you keep that picture coherent from the silicon up. The work lives low in the stack, close to silicon, firmware, BMC, and the network fabric, not orchestration.

You will:

Define the failure modes and reliability signals that matter across GPU and CPU fleets: XID errors, silent data corruption, HBM thermal events, NVLink degradation, ECC and memory trends, firmware and BMC behavior

Correlate device telemetry, firmware and BMC state, and link-level network signals into one coherent picture of fleet health

Map failure modes to the telemetry and log sources that expose them

Analyze production telemetry from supercomputers and AI clusters to find the patterns that precede failure

Design fault tolerance and resilience at the hardware and fabric layer: failure domains, degraded-mode operation, recovery

Work with design partners to validate failure taxonomies against real incident history

What You Bring

15+ years working close to the hardware in large-scale HPC, AI, or cloud fleets, at the level of silicon, firmware, and the network fabric

Hands-on experience with device and fabric telemetry (GNMI, Redfish and BMC, NVIDIA DCGM, link-level network signals) used to diagnose or predict hardware faults

Experience building a prediction, anomaly detection, or reliability analysis system on real operational data, and a clear sense of where those systems break

Strong grounding in fault tolerance and RAS at the hardware and fabric layer

The ability to sit between the hardware layer and the modeling layer without losing precision in either

Strong software engineering habits: version control, reproducible work, testable pipelines

Bonus

NVIDIA GPU fleet experience and the failure surface around it: XID and SDC analysis, HBM failure characterization, NVLink behavior

Low-level networking depth: link-level fabric health, GNMI, large-scale interconnect (InfiniBand, NVLink, Slingshot)

A telecom or networking background working below the application layer

Firmware, BMC, or hardware bring-up experience

Time inside a national lab, hyperscaler, or neocloud reliability or SRE org

PhD in computer engineering, electrical engineering, computer science, or related

US person status and the ability to obtain a security clearance, a plus generally and a requirement for certain projects

Why Cosmic Labs

Cosmic is a hardware intelligence platform for critical compute infrastructure. The product is deployed today with national lab and defense buyers, with active pilots across neoclouds, hyperscalers, and system integrators.

How to Apply

Email the following to team@cosmiclabs.io:

Subject line: Member of Technical Staff, Systems Architecture / [Your Name]

In the body:

Your name

Why this role and why Cosmic Labs

What you bring technically

Soonest available start date

Education and years of experience

U.S. work eligibility status

Availability (dates and times) for a 15-minute phone call over the next seven days

Attachment: PDF resume

Applications reviewed on a rolling basis.

Full-Stack Engineer

Location: San Francisco (Onsite)
Type: Full-time
Start Date: ASAP

About the Role

Cosmic Labs is hiring a full-stack engineer to work across our hardware intelligence platform, serving data center, critical infrastructure, and HPC environments. This role is about maintaining and improving our product, shipping new features and capabilities, and extending the platform across the stack: applications, APIs, AI integration, and the layers underneath that connect to real hardware.

What You'll Do

• Maintain and extend Cosmic's product surfaces in TypeScript, React, electron, and Next.js
• Ship new features and capabilities across the full stack
• Design and implement responsive interfaces for technically sophisticated users
• Integrate AI agents, RAG pipelines, and MCP-style context flows into product workflows
• Develop and maintain backend services and APIs that connect hardware telemetry, agents, and UI
• Implement real-time visualizations over streaming hardware data
• Work down the stack when needed, eg networking, terminals, system calls, infrastructure, deployment, debugging across layers
• Collaborate closely with systems engineers, infrastructure engineers, and customers

What You Bring

Strong experience with:

• JavaScript/TypeScript, React, Next.js, and modern front-end patterns
• APIs and backend services
• Building and maintaining real applications end-to-end — not AI-assisted prototypes, but production systems you've owned, debugged, and extended over time

Required:

• Hands-on experience integrating AI, LLMs, or agent systems into shipped products
• Practical experience with retrieval-augmented generation, context management, memory systems, and fine-tuning workflows
• Some level of experience with infrastructure or hardware — networking, OS internals, deployment, or working close to physical systems
• Demonstrated ability to maintain non-trivial codebases with deep understanding of what your code actually does (ie, not just vibe coder)
• Experience releasing and maintaining products in production and critical environments
• Familiarity with Linux internals, terminals, or low-level system interfaces
• Experience running and debugging desktop or local applications

What We're Looking For

• Strong product sense and attention to UX for technical users
• Genuine engineering depth — comfortable reading code, reasoning about systems, and debugging across layers, not reliant on AI to produce work you can't explain
• Motivation to work in a fast-paced, high-intensity startup environment
• Comfort owning large product surfaces and iterating quickly with users
• Excitement about extreme agency and building cracked tools with a cracked team
• Highly collaborative

Requirements

• BS (bonus Master's) Computer Science, Electrical Engineering, Computer Engineering, or equivalent
• Willingness to work startup hours, in-person (weekends included) at our San Francisco office
• Existing work authorization in the United States. We are not able to sponsor visas at this time.

What we offer:

• Highly competitive salary
• Ownership over key product surfaces used daily by top-tier engineers
• Close collaboration with a deeply technical founding team working on insanely ambitious problems

How to Apply

Email: team@cosmiclabs.io
Subject line: Full-Stack Engineer / [Your Name]

Include in your email:

1. Your name
2. Why this role and why Cosmic Labs
3. What you bring technically
4. Soonest available start date
5. Confirmation of work authorization in the U.S.
6. Confirmation of willingness to work full-time, in-person in San Francisco

Attach: PDF resume

Senior HPC-Engineer

Location: San Francisco (Onsite) Type: Full-time Start Date: ASAP

What You'll Do

• Implement and tune workload management and scheduling across on-prem, cloud, and hybrid environments
• Build and manage monitoring and observability infrastructure
• Drive automation strategy for HPC and GPU deployments
• Technical engagement with customers of heterogeneous HPC and AI compute environments
• Validate high-speed interconnect fabrics and diagnose performance issues at the network, PCIe, and device level

What You Bring Deep experience across several of the following:

• Large-scale GPU cluster architecture and operations (multi-node, multi-rack GPU deployments in production)
• High-speed interconnects: InfiniBand (NDR/HDR), RoCE, RDMA design, deployment, and performance tuning
• Parallel and distributed storage systems (Lustre, CEPH, ZFS, GPFS, or comparable) at petabyte scale
• Job scheduling and resource management for GPU workloads (SLURM, PBS, Kubernetes-based, or equivalent)
• Linux systems engineering at scale, including bare-metal provisioning, kernel tuning, and hardware-level debugging
• BMC/IPMI/Redfish interfaces and hardware lifecycle management
• NVIDIA GPU stack: drivers, CUDA, NCCL, NVML, GPU health monitoring and diagnostics

Strong familiarity with:

• Virtualized and containerized GPU workloads and performance benchmarking
• Network and cluster performance validation
• Python, Bash, or Go for infrastructure automation and tooling
• Air-gapped, DDIL, or otherwise restricted deployment environments
• Vendor-diverse hardware environments

You should have:

• A track record of owning compute infrastructure end to end, from architecture through production operations
• Experience leading technical decisions on cluster design, storage architecture, or network topology
• Comfort working directly with customers and end users across a range of technical sophistication
• The ability to translate operational pain into product requirements and engineering priorities
• Interest in turning years of hard-won systems knowledge into software that makes hardware infrastructure run itself

Requirements

• 7+ years of experience in HPC systems engineering, large-scale infrastructure, or GPU compute operations
• Willingness to work startup hours, in-person (some weekends included) at our San Francisco office
• Work authorization in the United States

What we offer:

• Competitive salary
• A role where your operational experience directly shapes the product
• Problems that span GPU clusters, high-speed networking, storage, and scheduling across cloud, on-prem, and classified environments
• A team that has done this work and understands what it takes

How to Apply Email: team@cosmiclabs.io Subject line: Principal HPC Engineer / [Your Name]

Include in your email:

• Your name
• Why this role and why Cosmic Labs
• What you bring technically
• Soonest available start date
• GitHub or GitLab link (if applicable)
• Confirmation of work authorization in the U.S.
• Confirmation of willingness to work full-time, in-person in San Francisco

Attach: PDF resume

DevOps Engineer Location: San Francisco (Onsite) Type: Full-time Start Date: ASAP

What You'll Do

Design and maintain CI/CD pipelines for Cosmic's hardware intelligence platform

Build and scale infrastructure for real-time hardware telemetry, device graph awareness, and autonomous operations across data center and HPC environments

Implement observability, monitoring, and alerting across cloud, on-prem, and air-gapped deployments

Automate workflows for customer environments

Manage containerization and orchestration for multi-environment deployments (cloud, on-prem, DDIL)

Collaborate with systems and ML engineers to ensure reliable deployments across heterogeneous hardware targets

Own infrastructure security, compliance, and operational reliability

What You Bring Strong experience with:

CI/CD systems (GitHub Actions, GitLab CI, Jenkins, ArgoCD)

Container orchestration (Kubernetes, Docker Swarm) and containerization

Infrastructure as Code (Terraform, Pulumi, Ansible, CloudFormation)

Cloud platforms (AWS, GCP, Azure) and hybrid/on-prem deployments

Linux systems administration and shell scripting

Monitoring and observability tools (Prometheus, Grafana, Datadog, ELK stack)

Familiarity with:

HPC cluster environments and large-scale compute deployments

Air-gapped and secure enclave deployments

Hardware configuration management (BMC, Redfish, IPMI)

Networking fundamentals (TCP/IP, VPNs, firewalls, load balancers, RoCE/RDMA fabrics)

Python and/or Go for tooling and automation

What We're Looking For We want a DevOps engineer who can build reliable infrastructure for systems that sit at the intersection of software and physical hardware, where uptime requirements are strict and the environments range from commercial cloud to classified facilities.

You should have:

Deep understanding of production systems and what it takes to keep them running at scale

Experience deploying software in environments with strict reliability and security requirements

Comfort working across cloud, on-prem, and air-gapped deployments

Ability to move fast while maintaining operational discipline

Interest in the problem of making physical hardware infrastructure autonomous and observable

Requirements

Bachelor's or Master's in Computer Science, Computer Engineering, or equivalent experience

3+ years of DevOps/SRE/Infrastructure experience

Willingness to work startup hours, in-person (weekends included) at our San Francisco office

Work authorization in the United States

Why Join Cosmic is the intelligence layer for physical hardware. We automate hardware bring-up, configuration, and maintenance across heterogeneous data center and HPC environments. What we offer:

Startup-level equity and competitive salary

Ownership over infrastructure that powers mission-critical hardware operations

Problems that span cloud, HPC, and classified environments

Close collaboration with customers in supercomputing, aerospace, defense, and AI infrastructure

How to Apply Email: team@cosmiclabs.io Subject line: DevOps / [Your Name]

Include in your email:

Your name

Why this role and why Cosmic Labs

What you bring technically

Soonest available start date

GitHub or GitLab link

Confirmation of work authorization in the U.S.

Confirmation of willingness to work full-time, in-person in San Francisco

Attach: PDF resume

Forward Deployed AI Infrastructure Engineer

Location: San Francisco (Onsite) + Customer Sites

Type: Full-time

Start Date: ASAP

What You'll Do

Deploy, configure, and optimize AI infrastructure at customer sites

Lead hands-on implementation of GPU clusters, networking, and hardware systems

Debug complex issues across compute, network, and storage layers in production environments

Build custom integrations between our platform and customer infrastructure

Develop network automation and programmability solutions for AI deployments

Translate customer requirements into product feedback and technical solutions

Serve as the technical bridge between our engineering team and customer operations

MUST have 2+ years of real experience in critical systems and network/HPC/AI infra.

What You Bring

Strong experience with:

Network programming and automation (Python, Go, Ansible, Netconf/YANG)

Data center networking (BGP, EVPN-VXLAN, high-speed Ethernet, InfiniBand)

GPU cluster deployment and management

Linux systems administration and troubleshooting

On-site customer deployments and technical implementation

Network debugging and packet-level analysis

Familiarity with:

AI/ML infrastructure and workload requirements

Distributed systems and cluster orchestration

Storage systems for high-performance computing

Network telemetry and observability

Security and compliance requirements for enterprise deployments

What We're Looking For

We're looking for a forward deployed engineer who can ship AI infrastructure in the field — someone equally comfortable writing network automation code and racking switches at a customer data center.

You should have:

Track record of successful customer deployments in complex environments

Strong network programming skills and deep networking fundamentals

Ability to debug and solve problems independently on-site

Excellent communication skills for working directly with customers

Willingness to travel (up to 50%) to customer locations

Excitement about being the tip of the spear for hardware intelligence deployment

Requirements:

Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience

4+ years of experience in network engineering, systems engineering, or forward deployed roles

Willingness to work startup hours, in-person (weekends included) at our San Francisco office when not traveling

Work authorization in the United States

Why Join

We're building the intelligence layer for hardware — real-time systems that control physical machines with zero tolerance for latency or failure.

What we offer:

Startup-level equity and highly competitive salary

Ownership over how our product succeeds in production at customer sites

Direct impact on product direction through customer feedback

Close collaboration with cutting-edge AI infrastructure teams

How to Apply

Email: team@cosmiclabs.io

Subject line: Forward Deployed AI Infra / [Your Name]

Include in your email:

Your name

Why this role and why Cosmic Labs

What you bring technically

Soonest available start date

GitHub or GitLab link

Confirmation of work authorization in the U.S.

Confirmation of willingness to work full-time, in-person in San Francisco and travel to customer sites

Attach: PDF resume

ocation: In-person, San Francisco (Relocation Supported) Type: Full-time | Competitive Pay + Equity Start Date: ASAP

What You'll Own

You will design the algorithms that predict system failures before they happen. Cosmic operates at the intersection of AI and physical infrastructure, and this role owns the prediction layer: turning real-time system telemetry into calibrated forecasts that operators can act on.

This is a hard statistical problem. Failure events are rare. The data is noisy, high-dimensional, and non-stationary. The prediction horizons that matter are long (hours to days, not seconds), and the cost of a miss is not a bad trade but a downed system in an environment where downtime has real consequences.

You will:

Design and implement time series models for long-horizon failure prediction, including survival analysis, hazard modeling, and competing risks approaches

Build feature engineering pipelines over multivariate, high-frequency system telemetry

Develop probabilistic forecasting systems with well-calibrated uncertainty estimates, not point predictions

Own evaluation methodology: define metrics, build backtesting infrastructure, and measure calibration rigor across deployment environments

Tackle the rare-event prediction problem head on, including approaches to class imbalance, censored data, and distributional shift

Design algorithms from first principles for problem domains where off-the-shelf models are insufficient

Build monitoring and alerting systems that track model performance across distributed, volatile compute environments

Collaborate closely with infrastructure and systems engineers who understand the hardware side of the stack

Shape the technical direction of the ML function and, over time, grow and lead a small team of engineers in this area

What You Bring

4+ years of experience in applied ML, quantitative research, or statistical modeling

Strong statistical foundations: survival analysis, Bayesian methods, time series modeling, or stochastic processes

Experience with long-horizon forecasting or event prediction on noisy, real-world data

Deep fluency in at least one ML framework (PyTorch, JAX, TensorFlow) and the ability to implement custom model architectures, loss functions, and training procedures from scratch

Rigorous approach to evaluation: you care about calibration, not accuracy on a held-out set. You have built backtesting or cross-validation pipelines for temporal data and understand why naive splits produce misleading results

Feature engineering intuition for high-dimensional, multivariate time series data

Comfort working with imbalanced datasets and rare event prediction

Strong software engineering habits: clean code, version control, reproducible experiments, testable pipelines

Ability to work independently on open-ended research problems and communicate findings clearly to engineers who are not ML specialists

Bonus

Experience with survival models, hazard functions, or competing risks analysis

Background in reliability engineering, predictive maintenance, or physics-informed ML

Publications or open-source work in time series forecasting, anomaly detection, or probabilistic prediction

Prior experience in quantitative finance, trading systems, or actuarial modeling where calibrated prediction under uncertainty was the core deliverable

Familiarity with system telemetry, infrastructure monitoring, or observability at scale

Experience leading or mentoring other engineers on a small technical team

Why Cosmic Labs

Cosmic is a hardware intelligence platform used across critical compute infrastructure. We have access to a proprietary data layer that most organizations generate but nobody has built real prediction on top of. The data exists, the problem is unsolved, and the operators who depend on this infrastructure need predictions they can act on, not dashboards they have to interpret.

If you have spent your career building prediction systems on noisy data and want to apply that skill to a domain where the stakes are physical and the problem is genuinely hard, we want to hear from you.

How to Apply

Email the following to team@cosmiclabs.io:

Subject line: Member of Technical Staff, AI/ML / [Your Name]

In the body:

Your name

Why this role and why Cosmic Labs

What you bring technically

Soonest available start date

Education and years of experience

U.S. work eligibility status

Availability (dates and times) for a 15-minute phone call over the next seven days

Attachment:

PDF resume

Applications reviewed on a rolling basis.

AI-Infrastructure-Engineer

Location: San Francisco (Onsite)

Type: Full-time

Start Date: ASAP

What You'll Do

Design and build infrastructure for deploying, scaling, and managing AI/ML workloads

Develop automation for GPU cluster provisioning, configuration, and orchestration

Build systems for hardware-aware model deployment and inference optimization

Create tooling for AI infrastructure observability, debugging, and performance tuning

Work on integration between hardware intelligence and ML frameworks

Collaborate with customers deploying large-scale AI systems in production

Optimize resource utilization across heterogeneous compute (GPUs, TPUs, custom accelerators)

What You Bring

Strong experience with:

GPU cluster management and orchestration (SLURM, Kubernetes, Ray)

ML infrastructure and frameworks (PyTorch, TensorFlow, JAX, NVIDIA stack)

Distributed training and inference systems

Container orchestration for ML workloads (Docker, Kubernetes, KubeFlow)

Linux systems programming and performance optimization

Python and systems scripting

Familiarity with:

Hardware architectures for AI (NVIDIA GPUs, AMD GPUs, custom accelerators)

High-performance networking for distributed ML (NCCL, InfiniBand, RoCE)

Model serving infrastructure (Triton, vLLM, TensorRT)

Storage systems for ML workloads (distributed filesystems, object storage)

Infrastructure as Code and GitOps workflows

What We're Looking For

We're looking for an AI infrastructure engineer who understands the full stack from silicon to model serving — and can build systems that make AI deployment effortless.

You should have:

Deep understanding of what it takes to run AI workloads at scale

Experience with the operational challenges of GPU clusters and ML infrastructure

Ability to debug performance issues across hardware, networking, and software

Comfort working across infrastructure, ML frameworks, and developer experience

Excitement about building the foundational layer for physical AI systems

Requirements:

Bachelor's or Master's in Computer Science, Computer Engineering, or equivalent experience

3+ years of experience in ML infrastructure, MLOps, or AI platform engineering

Willingness to work startup hours, in-person (weekends included) at our San Francisco office

Work authorization in the United States

Why Join

We're building the intelligence layer for hardware — real-time systems that control physical machines with zero tolerance for latency or failure.

What we offer:

Startup-level equity and highly competitive salary

Ownership over AI infrastructure that powers next-generation systems

Problems at the intersection of hardware intelligence and machine learning

Close collaboration with customers pushing the boundaries of AI deployment

How to Apply

Email: team@cosmiclabs.io

Subject line: AI Infrastructure / [Your Name]

Include in your email:

Your name

Why this role and why Cosmic Labs

What you bring technically

Soonest available start date

GitHub or GitLab link

Confirmation of work authorization in the U.S.

Confirmation of willingness to work full-time, in-person in San Francisco

Attach: PDF resume

Data-Center-Network-Engineer

Location: San Francisco (Onsite)

Type: Full-time

Start Date: ASAP

What You'll Do

Design and implement network architectures for GPU clusters and high-performance computing environments

Build real-time network topology discovery and awareness systems

Debug and optimize data center fabric performance across switches, NICs, and interconnects

Develop automation for network configuration, validation, and deployment at scale

Integrate network telemetry into our hardware intelligence platform

Work on network stack optimization for low-latency, high-throughput workloads

Collaborate with customers deploying AI infrastructure in enterprise and hyperscale environments

What You Bring

Strong experience with:

Data center network architectures (spine-leaf, Clos, fat-tree)

Network protocols (BGP, OSPF, EVPN-VXLAN, RDMA/RoCE)

High-performance networking (InfiniBand, 100G/400G Ethernet, SmartNICs)

Network operating systems (Cumulus, SONiC, Arista EOS, Cisco NX-OS)

Network automation and programmability (Python, Ansible, Netconf/YANG)

Packet capture and analysis (Wireshark, tcpdump, eBPF)

Familiarity with:

GPU cluster networking and AI/ML workload requirements

Storage networking (NVMe-oF, iSCSI, FC)

Network telemetry and observability (streaming telemetry, sFlow, NetFlow)

Linux networking stack and kernel networking

SDN controllers and network virtualization

What We're Looking For

We're looking for a network engineer who understands data center fabric at the packet level and can build intelligent systems that make network configuration and debugging effortless.

You should have:

Deep expertise in modern data center network design and operations

Experience with high-performance computing or AI infrastructure networking

Ability to debug complex network issues across multiple layers

Comfort working at the intersection of hardware, software, and network

Excitement about automating away the pain of network operations

Requirements:

Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience

4+ years of data center network engineering experience

Willingness to work startup hours, in-person (weekends included) at our San Francisco office

Work authorization in the United States

Why Join

We're building the intelligence layer for hardware — real-time systems that control physical machines with zero tolerance for latency or failure.

What we offer:

Startup-level equity and highly competitive salary

Ownership over network intelligence that powers GPU clusters and AI infrastructure

Problems at the cutting edge of data center networking and automation

Close collaboration with customers building next-generation AI infrastructure

How to Apply

Email: team@cosmiclabs.io

Subject line: Data Center Network / [Your Name]

Include in your email:

Your name

Why this role and why Cosmic Labs

What you bring technically

Soonest available start date

GitHub or GitLab link

Confirmation of work authorization in the U.S.

Confirmation of willingness to work full-time, in-person in San Francisco

Attach: PDF resume

Founding Engineer – Fullstack Engineer

Location: San Francisco (Onsite)

Type: Full-time

Start Date: ASAP

What You'll Do

Build the web and desktop interfaces for our hardware intelligence platform

Design and implement real-time UIs for hardware visualization, terminal multiplexing, and device orchestration

Develop APIs and backend services that bridge frontend experiences to low-level hardware systems

Create intuitive developer tools and dashboards for embedded systems engineers

Work on AI copilot interfaces and agent-driven workflows

Own the full product experience from design to deployment

Collaborate with systems engineers to surface complex hardware state in accessible ways

What You Bring

Strong experience with:

Modern frontend frameworks (React, Vue, Svelte)

TypeScript and JavaScript ecosystem

Backend development (Node.js, Python, Go)

Real-time systems and WebSocket/streaming architectures

Database design (PostgreSQL, Redis, time-series databases)

API design and implementation (REST, GraphQL, gRPC)

Familiarity with:

Desktop application development (Electron, Tauri)

Terminal emulators and CLI tooling

Low-level system integration from frontend/backend

Data visualization for real-time systems

AI/LLM integration and agent frameworks

What We're Looking For

We're looking for a fullstack engineer who can build beautiful, responsive interfaces for systems that touch real hardware — where milliseconds matter and reliability is non-negotiable.

You should have:

Strong product sense and attention to developer experience

Experience building real-time, data-intensive applications

Ability to work across the full stack and make pragmatic tradeoffs

Comfort diving into unfamiliar domains (hardware, embedded, networking)

Excitement about building tools that hardware engineers actually want to use

Requirements:

Bachelor's or Master's in Computer Science or equivalent experience

3+ years of fullstack development experience

Willingness to work startup hours, in-person (weekends included) at our San Francisco office

Work authorization in the United States

Why Join

We're building the intelligence layer for hardware — real-time systems that control physical machines with zero tolerance for latency or failure.

What we offer:

Founding engineer-level equity and highly competitive salary

Ownership over the product experience that defines how customers interact with Cosmic

Problems that span real-time visualization, AI interfaces, and hardware integration

Close collaboration with customers building cutting-edge embedded and networked systems

How to Apply

Email: team@cosmiclabs.io

Subject line: Founding Engineer – Fullstack / [Your Name]

Include in your email:

Your name

Why this role and why Cosmic Labs

What you bring technically

Soonest available start date

GitHub or GitLab link

Portfolio or examples of previous work (if available)

Confirmation of work authorization in the U.S.

Confirmation of willingness to work full-time, in-person in San Francisco

Attach: PDF resume

Sales Architect – Hardware Integration & System Design

Location: San Francisco (Onsite)

Type: Full-time

Start Date: ASAP

What You'll Do

Lead technical sales engagements for complex hardware integration opportunities

Design solution architectures that map customer requirements to our platform capabilities

Conduct technical deep-dives with customer engineering teams on system integration

Build proof-of-concepts, demos, and technical proposals for enterprise and government customers

Translate customer feedback into product requirements for the engineering team

Develop technical collateral, reference architectures, and integration guides

Support contract negotiations with technical scoping and architectural guidance

Represent Cosmic Labs at technical conferences and industry events

What You Bring

Strong experience with:

Solutions architecture or technical pre-sales for hardware/infrastructure products

Hardware system design and integration (servers, embedded systems, networking)

Customer-facing technical presentations and proof-of-concept development

Writing technical proposals, SOWs, and architecture documentation

Hands-on experience with system integration, deployment, and validation

Enterprise and government sales cycles

Familiarity with:

Data center infrastructure (compute, storage, networking)

AI/ML infrastructure and GPU systems

Embedded systems and hardware-software co-design

Defense and aerospace system integration

Security architecture and compliance frameworks

FAR/DFARS and government procurement requirements

What We're Looking For

We're looking for a sales architect who can design winning technical solutions for hardware integration — someone who has been in the trenches on complex system deployments and can bridge the gap between customer needs and product capabilities.

You should have:

Deep technical credibility with hardware and systems engineering

Track record of winning complex technical sales engagements

Ability to design and present compelling solution architectures

Experience working with defense, aerospace, or government customers

Comfort operating at the intersection of sales and engineering

Excitement about defining how we win technical evaluations

Requirements:

Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience

5+ years of solutions architecture, sales engineering, or technical pre-sales experience

Active TS/SCI or Secret security clearance required

Willingness to travel (up to 40%) to customer locations

Willingness to work startup hours, in-person at our San Francisco office

Work authorization in the United States

Why Join

We're building the intelligence layer for hardware — real-time systems that control physical machines with zero tolerance for latency or failure.

What we offer:

Competitive salary and meaningful equity

Ownership over technical sales strategy and solution architecture

Direct collaboration with founders and engineering leadership

Exposure to cutting-edge deployments in AI, aerospace, and defense

How to Apply

Email: team@cosmiclabs.io

Subject line: Sales Architect – Hardware Integration / [Your Name]

Include in your email:

Your name

Why this role and why Cosmic Labs

Relevant technical sales and system design experience

Soonest available start date

Security clearance level and status

Confirmation of work authorization in the U.S.

Confirmation of willingness to work in-person in San Francisco

Attach: PDF resume

Enterprise Sales – Data Center & Network Infrastructure

Location: San Francisco (Onsite)

Type: Full-time

Start Date: ASAP

What You'll Do

Drive enterprise sales for our hardware intelligence platform into data center and AI infrastructure customers

Own the full sales cycle from prospecting to close for networking and systems integration opportunities

Build relationships with technical decision-makers at hyperscalers, AI labs, and enterprise data center operators

Navigate complex procurement processes including federal and defense customers

Partner with engineering to translate customer requirements into product opportunities

Develop account strategies for large, multi-stakeholder enterprise deals

Represent Cosmic Labs at industry events, conferences, and customer meetings

What You Bring

Strong experience with:

Enterprise sales of data center infrastructure, networking, or systems integration services

Selling to technical buyers (infrastructure architects, network engineers, IT leadership)

Complex, multi-quarter sales cycles with six and seven-figure deal sizes

Data center hardware ecosystem (servers, switches, storage, GPUs)

Building and managing enterprise pipeline ($10M+ annual quota)

CRM and sales tooling (Salesforce, etc.)

Familiarity with:

AI infrastructure and GPU cluster deployments

Federal and defense procurement processes

Network automation and orchestration solutions

Channel partnerships and systems integrator relationships

Technical pre-sales and solution architecture

What We're Looking For

We're looking for a sales professional who has sold data center infrastructure and network solutions into enterprise and government customers — someone who can navigate technical complexity and long sales cycles.

You should have:

Proven track record of exceeding quota in enterprise infrastructure sales

Deep rolodex in data center, networking, and AI infrastructure

Technical credibility to engage with engineering decision-makers

Experience with federal/defense customers and procurement

Ability to thrive in a fast-paced, early-stage environment

Excitement about building the go-to-market function from the ground up

Requirements:

5+ years of enterprise sales experience in data center, networking, or infrastructure

Demonstrated success selling to Fortune 500 and/or federal customers

Active TS/SCI or Secret security clearance strongly preferred

Willingness to travel (up to 50%) to customer locations

Willingness to work startup hours, in-person at our San Francisco office

Work authorization in the United States

Why Join

We're building the intelligence layer for hardware — real-time systems that control physical machines with zero tolerance for latency or failure.

What we offer:

Competitive base salary plus uncapped commission

Meaningful equity in a well-funded, high-growth company

Greenfield territory with strong product-market fit signals

Direct access to founders and ability to shape go-to-market strategy

How to Apply

Email: team@cosmiclabs.io

Subject line: Enterprise Sales – Data Center / [Your Name]

Include in your email:

Your name

Why this role and why Cosmic Labs

Relevant sales experience and quota attainment history

Soonest available start date

Security clearance status

Confirmation of work authorization in the U.S.

Confirmation of willingness to work in-person in San Francisco

Attach: PDF resume

Lead Computer Systems Engineer - Federal Focus on systems-critical applications and environments, including National Security related

Location: San Francisco, CA OR Washington, DC | Relocation Supported

Type: Full-time | Competitive Pay + Equity Start Date: ASAP What You'll Do

Architect and deploy high-performance compute infrastructure across GPU clusters, FPGAs, and heterogeneous server environments

Engineer computer systems spanning OSI layers 1–4: switch fabrics, NIC configuration, interconnects (InfiniBand, RoCE), and protocol-level optimization

Build tooling for hardware discovery, configuration management, and debugging across complex multi-node HPC deployments

Deliver infrastructure that meets performance, security, and compliance standards required for DoD, IC, and FedCiv missions

Work directly with the founding team on zero-to-one product roadmap, U.S. government contracts, and operational deployments

What You Bring

Must be a U.S. Citizen

Active security clearance (Secret, TS/SCI, TS/SCI with polygraph)

Prior experience working with the DoD, Intelligence Community, or U.S. federal civilian agencies

CPU/GPU/FPGA architecture knowledge at the register and memory hierarchy level

4+ years of computer systems engineering experience in at least two of the following:

HPC/Compute Infrastructure: GPU cluster deployment (NVIDIA DGX, HGX), job schedulers (Slurm), bare-metal provisioning

Datacenter Networking: switch and router configuration, fabric tuning, packet-level debugging, redundancy and failover design

Hardware-Software Integration: FPGA development, SmartNICs, driver-level work, firmware, secure boot

Server/Embedded Systems: C/C++, Rust, real-time OS, kernel tuning, resource-constrained deployments

Experience with air-gapped or SCIF deployments

Extremely comfortable at the hardware-software boundary—serial consoles, JTAG, BMC/IPMI, bare metal bring-up

Bonus

TS/SCI with polygraph

Background in national lab HPC, IC programs (NSA, NRO, DISA), or classified compute environments

Hands-on with datacenter hardware: rack-and-stack, cabling, power/thermal constraints, hardware lifecycle

SDR/DSP, contested networking, or MILCOM experience

Publications or open-source contributions in computer systems, networking, or compute infrastructure

Advanced degree in Computer Engineering, EE, CS, or related field

Why Join We're a venture-backed startup building the hardware intelligence platform for physical AI and embedded systems—think "what observability did for cloud, but for the hardware layer." Our customers span defense, national labs, AI compute, and aerospace. If you want to work at the intersection of HPC infrastructure, embedded systems, and national security—let's talk.

How to Apply Email team@cosmiclabs.io with subject line: Lead Computer Systems Engineer – HPC/Defense / [Your Name] In the body:

Your name

Why this role and why Cosmic Labs

What you bring technically

Clearance status (active, inactive, or eligibility)

Soonest available start date

Availability over next 5 days for a phone call

Attachment: PDF resume

Senior AI/ML Engineer

Location: In-person, San Francisco (Relocation Supported) Type: Full-time | Competitive Pay + Equity Start Date: ASAP

What You’ll Build

Design and train compact, high-performance AI models that run in constrained environments—under tight latency, memory, bandwidth, and power ceilings

Special focus on complex agentic coordination and memory and context management

Fine-tune and optimize models using quantization, distillation, pruning, and structured sparsity techniques

Convert and deploy models across a range of real-world hardware targets: embedded ARM, edge GPUs, edge CPUs, radios, mobile-class silicon

Own the end-to-end ML lifecycle: from architectural design and training to evaluation, system integration, and post-deployment debugging

Build tooling and automation to monitor model performance across volatile, distributed systems

Collaborate with embedded and infra engineers to ensure tight coordination between model behavior and system-level constraints

Help shape our AI/ML architecture and long-term roadmap while writing and shipping real code every day

What You Bring

4+ years of experience in ML research or applied AI

Strong foundation in deep learning (PyTorch, JAX, or TensorFlow) and model design from first principles

Experience training or fine-tuning small- to mid-scale models (language, vision, multi-modal, or agentic)

Deep familiarity with model optimization techniques: quantization, pruning, LoRA, distillation, etc.

Hands-on experience with ONNX, Core ML Tools, TVM, or similar frameworks for hardware-aware model conversion and deployment

Proven ability to deploy and optimize models across diverse hardware (Apple Silicon, ARM, GPUs, NPUs, etc.)

Comfortable with the state of the art—transformer variants, efficient architectures, emerging sparsity techniques, and real-world robustness challenges

Strong debugging and experimentation skills across data, model, and system layers

Able to work independently on hard open-ended problems, and collaborate across disciplines with clarity and speed

Bonus Points

Publications or open-source contributions in model efficiency, deployment tooling, or systems-aware ML

Prior experience building models for edge use cases or latency-sensitive environments

Familiarity with TinyML, quantized runtime stacks, or inference under low-power conditions

Experience with real-time agents or adaptive inference systems

Background in autonomy, robotics, networking, or embedded AI

Why Cosmic Labs

We're building AI infrastructure where resilience matters more than size, and speed matters more than scale. Our systems operate in environments where power is limited, compute is volatile, and downtime breaks mission-critical decisions.

We're not optimizing cloud inference—we're designing self-reliant AI systems that adapt, recover, and operate under pressure. If you're obsessed with how to make models smaller, faster, smarter, and care about making AI work beyond the lab—we want to talk.

How to Apply

Email the following to team@cosmiclabs.io:

Subject line: Founding AI/ML Engineer / [Your Name]

In the body:

Your name

Why this role and why Cosmic Labs

What you bring technically

Soonest available start date

Education and years of experience

U.S. work eligibility status

Availability (dates and times) for a 15-minute phone call over next seven days

Attachment:

PDF resume

Deadline: Applications reviewed on a rolling basis.

Founding Engineer – Computer Systems Engineer

Location: San Francisco (Onsite)

Type: Full-time

Start Date: ASAP

What You'll Do

Design and implement core systems that sit close to the kernel and hardware

Build real-time hardware graph awareness across multiple boards, devices, and interfaces

Integrate and abstract device I/O using low-level channels

Terminal/session virtualization and multi-device orchestration

Observability and tracing across Linux, networking, and embedded components

Collaborate on AI- and agent-driven workflows

Work directly with the founders to shape product direction, architecture, and engineering culture

What You Bring

Strong experience with:

Linux internals, kernel subsystems, device drivers

Networking stacks, TCP internals, NIC behavior, and low-level data paths

Compilers, program analysis, advanced debugging/instrumentation

Microcontrollers and low-level protocols (UART, I2C, SPI, JTAG, etc.)

Systems programming in C/C++ and Python

Strong knowledge and experience with computer systems design and engineers

Familiarity with:

Data center or distributed networking

AI, agents, or MCP-style context systems

Scripting and upper-stack work in JavaScript/TypeScript

What We're Looking For

We're looking for a founding engineer who lives at the intersection of kernels, networks, compilers, and hardware — and who can quickly move up the stack into agents, APIs, and product.

You should have:

Deep curiosity about hardware, kernels, and networks

Comfort working in a high-intensity, high-ownership startup environment

Ability to move quickly from prototype to production while maintaining reliability

Desire to work end-to-end: from low-level mechanisms to user-facing experiences

Excitement about building cracked tools with a cracked team

Requirements:

Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, Networks, or equivalent experience

Willingness to work startup hours, in-person (weekends included) at our San Francisco office

Work authorization in the United States

Why Join

We're building the intelligence layer for hardware — real-time systems that control physical machines with zero tolerance for latency or failure.

What we offer:

Founding engineer-level equity and highly competitive salary

Ownership over core architecture that defines the company's trajectory

Problems that touch kernels, hardware, agents, and UX in one product

Close collaboration with customers building cutting-edge embedded and networked systems

How to Apply

Email: team@cosmiclabs.io

Subject line: Founding Engineer – Embedded Systems / [Your Name]

Include in your email:

Your name

Why this role and why Cosmic Labs

What you bring technically

Soonest available start date

GitHub or GitLab link

Confirmation of work authorization in the U.S.

Confirmation of willingness to work full-time, in-person in San Francisco

Attach: PDF resume

Summary

happy droid is a general purpose robotics & physical AI company, with a focus on enhancing people’s lives in a responsible way.  Our products enable people to do meaningful work, spend more time with loved ones, and focus on what truly matters. We are committed to safety, corporate integrity, and flawless design.

We are looking for an experienced AI engineer with a passion for working with real hardware to join happy droid’s engineering team. You will be leading the effort of bringing physical intelligence to our products.

The candidate has a creative and practical mindset, with demonstrated experience training and deploying RL policies to robots. We are looking for self-motivated individuals who inspire and support a team, while also being able to independently drive their own work.

Core expertise should include building robot and actuator models, designing rewards, training and deploying RL policies, and analyzing data to close the sim2real gap. We need people who are detail-oriented while maintaining a strong view of the bigger picture. The ability to break down complex problems, define requirements, and prioritize work effectively will be key to success at happy droid.

Minimum Qualifications

• PhD in Robotics or Physical AI
• 3+ Years of industry experience
• RL Policy design and training expertise
• Data analysis for sim2real
• Actuator modeling
• High personal motivation
• Isaac Lab, Mujoco, or mjlab experience

Preferred Qualifications

• Kinematic chain modeling
• VLA fine tuning
• Python programming
• C++

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

Waabi’s autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.

This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.

You will…

- Conduct fundamental and applied research in generative and predictive world-modeling

• Video generation and prediction.

• Latent diffusion / autoregressive / flow-matching models.

• Multimodal foundation models for driving scenes.

• LLM / VLM / VLA methods for scene understanding, reasoning, and control.

• Generative scenario modeling and controllable simulation.

• Model distillation.

- Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines.

- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).

- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.

- Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics.

Qualifications:

- Demonstrated technical innovation:  You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..

- Strong prototyping and implementation:  You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.

- Expert domain knowledge: You have built  generative or predictive models of the physical world with scale and efficiency in mind for real-world applications

- Team player:  You have worked in a close-knit team of researchers and engineers and have strong communication  to deliver successful projects.

Bonus:

- Proven ability to translate research into production-quality code and measurable product impact.

- Demonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy.

The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

Waabi World depends on accurate, scalable, and efficient reconstruction of the 3D/4D physical world from real-world sensor data. As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially observed driving data into realistic and controllable digital worlds.

This role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World’s ability to build high-fidelity scene assets, recover geometry and dynamics from sensor data, and support realistic simulation and rendering at scale.

You will…

- Conduct fundamental and applied research in neural reconstruction, including:

• 3DGS / NeRF

• Dynamic scene reconstruction

• Feed-forward reconstruction

• Multi-sensor scene representation learning

- Build scalable reconstruction and simulation systems for dynamic urban scenes, including vehicles, background, lighting, and long-range structure.

- Collaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines.

- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).

- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.

- Stay current with emerging advances in neural rendering, 3D representation learning, differentiable rendering, and scalable reconstruction systems.

Qualifications:

- Demonstrated technical innovation:  You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..

- Strong prototyping and implementation:  You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.

- Expert domain knowledge: You have built  generative or predictive models of the physical world with scale and efficiency in mind for real-world applications

- Team player:  You have worked in a close-knit team of researchers and engineers and have strong communication  to deliver successful projects.

Bonus:

- Proven ability to translate research into production-quality code and measurable product impact.

- Demonstrated first-author publications in top-tier venues on topics such as:

• 3DGS / NeRF / neural rendering

• 3D / 4D reconstruction

• Generalizable reconstruction

• Geometry-aware or multi-sensor representation learning

- Experience working with camera, LiDAR, maps, and large-scale driving datasets.

- Strong background in graphics, geometry, rendering systems, or simulation.

The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
 

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.

You will...
- Design and execute on a research agenda for deep-learning based motion planning for self-driving.
- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.
- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.

Qualifications:
- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.
- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).
- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus/nice to have:
- Previous experience in self-driving technology. 
- Experience deploying ML/DL models to a production motion planning or related robotics stack.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road.

You will...
-  Own and pursue a research agenda to develop realistic and controllable simulation agents.
- Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.
- Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones.
- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
- Publish high-impact research at top-tier conferences in machine learning or robotics.

Qualifications:
- Masters/PhD in machine learning, computer science, engineering, or a related field.
- Strong background in imitation learning and/or reinforcement learning.
- Publications in top-tier conferences or journals related to machine learning or robotics.
- Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax.

Bonus:
- Experience in self-driving, traffic simulation, or a related field.
- Proven ability to take research from prototype to production systems.
- Strong software engineering skills, including experience with large-scale training or simulation.
The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...
- Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.
- Lead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc.
- Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems. 
- Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog.

Qualifications:
- Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study.
- Demonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.
- At least one publication in top Machine Learning, Computer Vision, or Robotics conferences.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python and/or C++..
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Application Instructions:
- To be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.
The US hourly range for this role is: $60 USD and the Canada hourly range for this role is: $60-$65 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations.

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Daily drinks, snacks and catered meals (when in office)
- Regularly scheduled team building activities and social events
- As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
 

What You'll Do

Build Vision-Language-Action models for robotics control end-to-end: data curation, careful evaluation, model architecture, training/inference stacks, rigorous experiments

Collaborate with simulation and real-world robotics teams to curate high-quality, diverse, and large-scale datasets

Curate the world’s best Internet-scale datasets for embodied perception and first-person robot video generation

Design new generative simulation techniques to expand simulation data scale and diversity, training and evaluating generative models of 3D objects and environments, and language/code models to generate tasks and reward functions

Collaborate with a team of driven individuals committed to building general-purpose Physical AI

What You'll Bring

Passion for your craft and demonstrated excellence in full-stack foundation model research and engineering

Exceptional ownership and initiative—finding and solving problems independently

Extensive experience pioneering new machine learning ideas or refining existing methods, supported by first-author publications or impactful projects (5+ years)

A relentless commitment to data and code quality, rigorous evaluation, and meticulous attention to detail

Production-level expertise in modern Python

Bonus: Experience with Vision-Language-Action models for robotics or web agents, embodied perception, or video generation

What You’ll Do

Develop and optimize a learning-based robotic manipulation control stack

Design and maintain a teleoperation system with smooth, precise motion and low latency

Train robotic policies for manipulation and locomotion with reinforcement learning and imitation learning

Deploy robotic policies and diagnose latency or bottlenecks in the control pipeline

Analyze and minimize the sim-to-real gap by co-optimizing simulation and real-world robot behavior

Collaborate with a team of driven individuals committed to building general-purpose Physical AI

What You’ll Bring

Passion for your craft and demonstrated excellence in robotics engineering

Exceptional ownership and initiative—finding and solving problems independently

Focus, attention to detail, patience, and a methodical approach to complex tasks

Production-level expertise in modern Python or C++

Extensive experience building and deploying real-world learning-based robotic systems (5+ years)

Bonus: Hands-on experience troubleshooting and maintaining robotic systems across mechanical, electrical, and software components

Turn your groundbreaking idea into a reality this summer! The Pearce Summer Fellows Program isn’t just another startup program — it’s your launchpad into Boston’s thriving tech ecosystem, powered by Underscore VC’s proven track record of turning academic innovation into market success.

Duration: The official program runs from June through August. That said, it is our sincere hope that you’ll be a lifelong partner and friend of the firm!

Why Underscore VC?
We’re not your typical VC firm. Just ask the startup founders we’ve backed. Based in the heart of Boston, we’ve revolutionized early-stage investing with our community-driven model to venture. Inspired by the principles of open source software — community, collaboration, and transparency — Underscore pioneered an “open source” investing model, sharing both returns and expertise with our Core Community of expert business builders. With $300M under management, we're deeply committed to Boston's innovation landscape, investing roughly half our capital right here in our backyard. Even better? 30% of our founders emerged from Boston's world-class academic institutions — just like you.

What You’ll Get

• Flexible Funding at Your Fingertips: Whether you're testing your first hypothesis or ready to scale, we'll meet you where you are with flexible financing that makes sense for your stage with a minimum $50K uncapped SAFE.
• Your New HQ in Underscore VC's Incubation Space: Work alongside ambitious founders and teams in our Boston office. This isn't just desk space – it's your portal to serendipitous connections.
• Direct Line to Prospect Customers: Tap into our extensive Core Community for targeted introductions to potential customers, partners, and industry leaders.
• World-Class Advisory Firepower: Get battle-tested insights and advice from seasoned operators and founders from powerhouses like Toast, Klaviyo, Amazon, and Anthropic.
• Dedicated VC Mentorship: Regular one-on-one sessions with our investment team every two weeks, plus open-door access for impromptu guidance. Get real-time feedback on your business model, fundraising approach, and strategic decisions. We’re here for you.
• Join a Powerful Community: Become part of a vibrant ecosystem of experts and fellow founders. The Underscore Community is here to support you for life. 

Who We're Looking For

• Academic Innovators: Current students (undergraduate through PhD), researchers, or professors from any Boston-area academic institution. At least one founding team member must have an academic affiliation. Whether you're at the idea stage or already have users, we want to hear from you. It’s never too early. The program offers flexible financing to meet you where you are.
   
• Spirited Leaders: This program is named in honor of John Pearce, Underscore VC's beloved Co-founder who was a tireless advocate for young entrepreneurs. In his memory, we seek founders who embody his spirit of relentless optimism, intellectual curiosity, and unwavering commitment to transforming bold ideas into world-changing ventures.
• Meet last years teams! 

Apply Here!

JOB TYPE: Internship

LOCATION: Remote

HOURS: Part-time (up to 20 hrs/week)

PAY RATE: $60/hr (plus bonus for successful implementation)

POSITIONS AVAILABLE: Up to three

DESCRIPTION: 

dSideAI is a multi-patented decision engine system created by NASA engineers to find the single best match to a user query out of any attribute dataset based on the set of user-input weighted preferences. dSideAI uses weighted factor decision-making to streamline consumer functionality, currently being developed for the personal shopping, financial, and real estate sectors.

We are seeking a team of up to three part-time software engineering interns to adapt dSideAI’s decision engine to these three sectors. You will develop three implementable prototypes to be used by leading shopping, investing, and real estate clients. The internship will comprise about 80 hours or work (as close to one month as possible) with potential to continue work beyond. By the end of the process, you will have created MVP prototypes to be tested by clients in operation. 

Experience:

- React JS or comparable web development framework, as well as Python or comparable server-side programming language

- Knowledge of LLMs and experience integrating software applications with LLM APIs

- Must have experience in AI-directed development / vibe coding for rapid implementation

To apply, please send your resume and links to any of your previously developed software projects displaying your development experience to sd@dsideai.com.

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The role

Customer experience at Nebius AI Cloud focuses on helping customers successfully adopt and scale AI workloads. As an intern, you’ll support this mission by learning how real-world AI systems are designed, deployed, and optimized at GPU cloud scale. You’ll gain exposure to modern ML frameworks, large-scale GPU infrastructure (including NVIDIA Hopper, Blackwell and Grace Blackwell platforms), and the collaboration between customers, engineering, and product teams.

This role offers a strong learning environment with mentorship, minimal bureaucracy, and opportunities to develop both technical and communication skills.

We are looking for an AI/ML Solutions Architect Intern to support AI-focused customers using Nebius services. This is a learning-focused role designed for students or early-career candidates who are interested in AI infrastructure, cloud platforms, and applied machine learning.

You will work closely with experienced Solutions Architects, Engineers, and Product teams to help design, document, and support AI solutions.

Your Responsibilities will include:

• Assist in designing and documenting AI and ML solutions.
• Learn how distributed training and inference workloads run on multi-GPU cloud-based systems.
• Help prepare technical materials such as presentations, documentation, tutorials, or demos.
• Participate in investigation, troubleshooting and optimization tasks under guidance from senior team members.

We expect you to have:

• Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or a related field.
• Solid understanding of machine learning concepts and workflows.
• Familiarity with at least one ML framework such as PyTorch, TensorFlow, or JAX.
• Comfort with programming in Python (other languages are a plus).
• Interest in cloud infrastructure, GPUs, and large-scale AI systems.
• Strong communication skills and a willingness to learn and ask questions.

Nice to have:

• Exposure to Kubernetes, Docker, or other container technologies.
• Familiarity with Git or basic DevOps workflows.
• Coursework or projects involving distributed systems, MLOps, or deep learning.
• Experience with AI projects from school, hackathons, or personal work.

Tools you may learn and use:

• Programming: Python (plus exposure to Go, Java, or C++)
• ML Frameworks: PyTorch, TensorFlow, JAX, Hugging Face
• Infrastructure & DevOps: Docker, Git, Kubernetes, Terraform
• Schedulers & Orchestration: Kubernetes, Slurm (learning-focused)

What we offer

• Competitive salary and comprehensive benefits package
• Mentorship from experienced AI, ML, and cloud infrastructure professionals.
• Hands-on experience with real customer workloads and production systems.
• Remote work flexibility and a collaborative, supportive team environment.
• Opportunity to be considered for a full-time role after the internship.

Nokia Bell Labs has an exciting lineup of internship positions available, spanning cutting-edge research areas including AI/ML, 5G/6G networks, quantum computing, and advanced communication systems. These roles offer students the chance to work on groundbreaking projects alongside our research teams and contribute to technologies that will shape the future of connectivity.
 

Advanced Sensing & Quantum Devices Intern

AI-Based Cybersecurity Research Intern 

Decentralized AI Intern 

Networking Research Intern 

Wireless Systems Research Intern 

Photonics and Optics Co-Op 

Bell Labs Math and Algorithms Intern 

Photonics and Optics International Co-Op 

Bell Labs Platform&ASIC Research Intern 

Language Models for Databases Intern 

Opto-Electronic Subsystems Co-op 

Bell Labs AI-RAN Research Intern 

Bell Labs Fiber Optics Intern 

Bell Labs Optical Access Intl. Intern 

Network Systems Summer Intern 

AI/ML Systems Research Intern 

Bell Labs Optical Access Intern 

Optical Communication Research Intern 

Bell Labs Machine Learning and AI Intern 

Spatial computing/communications Intern 

RFIC Intern 

AI/ML Intern 

Bell Labs Fiber Optics Intl. Intern 

Bell Labs Fiber Optics Co-op 

Opto-Electronic Subsystems Intl. Co-op 

Thermal Research Intern 

Quantum Information Research Intern 

GenAI Intern 

Transport Network Arch. Research Intern 

Bell Labs Radio Systems 6G Intern 

Photonic Integration Intern

Cambridge Mobile Telematics (CMT) (a company found by Hari Balakrishnan and me) is looking to hire folks to help train a new foundation model over sensor data. We serve millions of drivers and log billions of trips, generating petabytes of high-fidelity time-series data. We’re pretraining a self-supervised, multimodal time-series foundation model on this corpus to learn transferable representations for crash prediction, anomaly detection, and other driver-safety tasks. This is a novel type of foundation model, so we need to answer a number of fundamental questions. We're looking for someone to help us address core modeling choices—designing pretraining objectives, improving contrastive/masked tasks, and shaping evaluation—and ship a model that runs globally. They’ll have access to ample compute, world-class data, and strong engineering partners. We support publishing when it advances the field and the mission.

Chronos AI – Technology Summary
Chronos AI has developed a next-generation 3D geolocation and situational-awareness platform that operates without GPS, cell towers, or internet. Our system creates a self-calibrating mesh using UWB/BLE/Wi-Fi/LoRa nodes (“anchors” and “tags”), deployable on drones, vehicles, and fixed infrastructure in seconds. We deliver sub-meter accuracy indoors, outdoors, and underground, with both active tracking (people/equipment) and soon, advanced passive RF detection (phones, radios, unknown emitters).

 

This capability is now being integrated into defense systems, public safety platforms, smart buildings, and mobile robotics, and is supported by multiple U.S. DoD engagements (U.S. Navy CRADA, DARPA, SOCOM/AFSOC submissions).

What Chronos AI Is Looking for through MIT CSAIL

 

We are currently seeking highly specialized support in three areas:

1.    Deep-Tech Patent Application Writer

o   To structure, draft, and expand Chronos AI’s IP portfolio across geolocation, mesh networking, RF sensing, and autonomous systems.

o   Experience with multi-modal PNT/PNT-alternative technologies is preferred.

2.    Grant Writer (U.S. & International)

o   To prepare competitive proposals for government research programs, innovation funds, and dual-use technology grants.

o   Experience with technical deep-tech storytelling and budget structuring is essential.

3.    Proposal Writer for DoD & National Security Challenges

o   To support rapid, high-quality submissions for DoD challenges (DIU, xTech, SOCOM, AFSOC, DARPA, Navy etc.).

o   Must understand defense problem framing and how to position emerging technology for mission impact.

Skyline Nav AI, Inc. is a well-funded, commercially successful scale-up focused on revolutionizing visual navigation technology as an alternative to GPS, for our commercial and military customers. We are seeking highly motivated and hungry recent graduates (Bachelor's/Master's/PhD's) who are passionate about computer vision, drones, robotics and AI to join our team.

As a Staff Engineer, you will be responsible for developing and productionizing computer vision algorithms and machine learning models to help our technology achieve high-accuracy visual navigation. This includes developing new algorithms, as well as optimizing existing methods for real-time use on edge-devices such as aerial and ground robots, and building the next generation of robotics platforms.

Requirements:

1. Candidate must be a US citizen, eligible for US Department of Defense Security Clearance

2. B.S./M.S./Ph.D. degree in Computer Science, Electrical Engineering, Mechanical Engineering or related field

3. Strong programming skills in Python and C++

4. Proficient working with computer vision and machine learning concepts

5. Ability to work in fast-paced dynamic scale-up environment

6. Ability to demo progress of next generation robotics platforms in-person on a weekly basis in Massachusetts

Preferred:

- Experience with visual navigation or similar technologies

- Knowledge of drones and autonomous vehicle systems

We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within a few days of applying. 

If you are passionate about visual navigation and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, remote work and opportunities for growth within our company.

If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.

The Applied AI team at Balyasny Asset Management is at the forefront of transforming how investment professionals interact with artificial intelligence. We've built a comprehensive suite of AI-powered tools including custom assistants with deep research capabilities connected to hundreds of tools. Now we’re developing reasoning models for finance and evolving our platform to a true collaborative AI workspace where agents function as intelligent team members.

Role Overview

We are seeking a Research Scientist or Senior Research Scientist to join our Applied AI team in building the next generation of AI-powered investment tools. You will work on cutting-edge research projects that directly impact how portfolio managers, analysts, and researchers leverage AI in their daily workflows. This role requires a strong background in machine learning, and a passion for seeing your research deployed to thousands of users in production. 

What sets this opportunity apart is the unparalleled environment for advancing the frontier of human + AI performance in investing. At BAM, you’ll have access to the richest possible ecosystem: comprehensive data from every major vendor and proprietary sources, the most advanced models from across the industry, scalable compute, and exposure to a deep roster of world-class investment teams. This unique combination allows you to rigorously assess, compare, and push the boundaries of what AI can achieve alongside some of the most sophisticated human investors in the world.

The ideal candidate will have a PhD in a relevant field, a strong publication record, and a demonstrated ability to translate advanced research into practical, scalable solutions. 

Key Responsibilities

• Conduct original research in machine learning, with a focus on reinforcement learning, agent architectures, and large language models
• Prototype, develop, and help deploy new ML models and algorithms that power BAM’s AI capabilities
• Collaborate with engineers to integrate research outputs into production systems used by portfolio managers, analysts, and researchers
• Design experiments and analyze results to evaluate the effectiveness of new models and approaches
• Work closely with end-users to understand their needs and ensure research is aligned with practical, high-impact applications
• Contribute to the broader research community through publications, presentations, and open-source contributions as appropriate
• Mentor junior researchers and contribute to technical direction and strategy
• Participate in the full research lifecycle from ideation and literature review through deployment and monitoring

Minimum Qualifications

• PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field
• Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
• Deep expertise in machine learning, with a focus on natural language processing (NLP), reinforcement learning (RL) or related areas
• Experience developing and evaluating ML models in Python (PyTorch)
• Demonstrated ability to translate research into practical, scalable solutions
• Strong programming skills and familiarity with modern software engineering practices

Preferred Qualifications

• Experience deploying ML models in production environments with real users
• Knowledge of financial markets and investment workflows
• Experience with cloud platforms (AWS preferred)
• Familiarity with vector databases, semantic search, or information retrieval systems
• Strong communication skills and ability to work with highly sophisticated end-users

Role Overview

We are seeking a Research Scientist or Senior Research Scientist to join our Applied AI team in building the next generation of AI-powered investment tools. You will work on cutting-edge research projects that directly impact how portfolio managers, analysts, and researchers leverage AI in their daily workflows. This role requires a strong background in machine learning, and a passion for seeing your research deployed to thousands of users in production.  

What sets this opportunity apart is the unparalleled environment for advancing the frontier of human + AI performance in investing. At BAM, you’ll have access to the richest possible ecosystem: comprehensive data from every major vendor and proprietary sources, the most advanced models from across the industry, scalable compute, and exposure to a deep roster of world-class investment teams. This unique combination allows you to rigorously assess, compare, and push the boundaries of what AI can achieve alongside some of the most sophisticated human investors in the world.

The ideal candidate will have a PhD in a relevant field, a strong publication record, and a demonstrated ability to translate advanced research into practical, scalable solutions.  

Key Responsibilities

   Conduct original research in machine learning, with a focus on reinforcement learning, agent architectures, and large language models 
   Prototype, develop, and help deploy new ML models and algorithms that power BAM’s AI capabilities 
   Collaborate with engineers to integrate research outputs into production systems used by portfolio managers, analysts, and researchers 
   Design experiments and analyze results to evaluate the effectiveness of new models and approaches 
   Work closely with end-users to understand their needs and ensure research is aligned with practical, high-impact applications 
   Contribute to the broader research community through publications, presentations, and open-source contributions as appropriate 
   Mentor junior researchers and contribute to technical direction and strategy 
   Participate in the full research lifecycle from ideation and literature review through deployment and monitoring

Minimum Qualifications

   PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field 
   Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) 
   Deep expertise in machine learning, with a focus on natural language processing (NLP), reinforcement learning (RL) or related areas
   Experience developing and evaluating ML models in Python (PyTorch) 
   Demonstrated ability to translate research into practical, scalable solutions 
   Strong programming skills and familiarity with modern software engineering practices

Preferred Qualifications

   Experience deploying ML models in production environments with real users 
   Knowledge of financial markets and investment workflows 
   Experience with cloud platforms (AWS preferred) 
   Familiarity with vector databases, semantic search, or information retrieval systems 
   Strong communication skills and ability to work with highly sophisticated end-users 

The Data Science & AI (DSAI) organization is a key part of BAM’s continued growth. Year over year, the knowledge needed to leverage data plays an increasingly important role in the firm’s core business. The analytical expertise that the Data Science & AI organization provides the firm are part of BAM’s competitive advantage. The DSAI organization supports Investment Teams across all asset classes by providing research and tools powered by data science and AI to help deliver results and PnL.

As a Geospatial Data Scientist Intern, you will go through a hands-on 12-week program and solve complex, real-world problems. You will experience firsthand how data science and AI are used to enhance and support the investment process. Our internship program includes a two-week training block where you will learn how investing works at a hedge fund and get hands-on experience with our DSAI tools and environments before hitting the desk. It also offers mentorship and collaboration with senior members of the team in addition to the opportunity to expand your network with the greater intern cohort.

In this role, you will be responsible for extracting actionable insights from our many rich alternative datasets with a specific focus on geospatial analytics, including but not limited to imagery analysis, meteorological and hydrological modeling, crop yield forecasting, and spatial data science projects. You will be involved at every stage of this process, including hypothesis generation, data wrangling, building and testing appropriate statistical and machine learning models, and communicating your findings to senior managers.

Responsibilities:

·      Imagery Processing and Analysis: Acquire, process, and analyze imagery data from both publicly available satellite sources and commercial vendors with demonstrated familiarity with a range of imagery data types (optical, SAR, multispectral, hyperspectral, etc.) and associated metadata.

·      Generate Insights: Extract actionable investment insights through advanced image processing and modeling techniques such as object detection and change detection to extract actionable insights.

·      Weather Prediction & Simulation: Utilize information from land, sea, and upper atmosphere to predict or simulate weather conditions and study their causes. Use the latest forecast technology to predict severe weather events such as tornadoes, flooding, hurricanes, strong winds, and extreme temperatures.

·      Research Design: Develop proof of concepts (POC) in partnership with and with iterative inputs from sponsoring investment teams.

·      Present Results: Present results to both technical and non-technical audiences

·      Teamwork & Mindset: Self-driven and results oriented. Perpetually curious while staying exceptionally organized and collaborative in a fast-paced, ambiguous environment.

·      GIS Platforms: Experience and proficiency with ERDAS, ENVI ESRI, QGIS, or other imagery or GIS platforms. Comfortable working with geospatial data formats.

Qualifications:

·      PhD student graduating between December 2026 and May 2027 who is pursuing a degree in Earth Sciences, Geospatial Information Systems, Computer Science, Mathematics, Statistics, Data Science or another related quantitative field.

·      Exceptional analytical, data processing and programming skills (at a minimum, python, numpy, pandas, scikit-learn, matplotlib and SQL)

·      Exceptional understanding of statistical and machine learning concepts

·      Familiarity with ETL tools and managing code repositories (GitHub)

·      Familiarity with GIS Software (QGIS, ArcGIS)

·      Ability to clearly communicate complex and technical subject matters

·      Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment

·      Experience with the following technologies is a plus: Vector Databases, OpenSearch, Apache Airflow, AWS, Spark, Databricks, Deep learning frameworks (e.g., Tensorflow, Keras and PyTorch)

·      Academic or industry experience in the following fields is a plus: natural science, spectral imaging, hydrology, meteorology, weather/flood modelling, computer vision, econometrics

Opportunities are available in our New York office. 

The Data Science & AI (DSAI) organization is a key part of BAM’s continued growth. Year over year, the knowledge needed to leverage data plays an increasingly important role in the firm’s core business. The analytical expertise that the Data Science & AI organization provides the firm are part of BAM’s competitive advantage. The DSAI organization supports Investment Teams across all asset classes by providing research and tools powered by data science and AI to help deliver results and PnL.

As a Data Science Intern, you will go through a hands-on 12-week program and solve complex, real-world problems. You will experience firsthand how data science is used to enhance and support the investment process. Our internship program includes a two-week training block where you will learn how investing works at a hedge fund and get hands-on experience with our data science tools and environments before hitting the desk. It also offers mentorship and collaboration with senior members of the team in addition to the opportunity to expand your network with the greater intern cohort.

Data Science Interns work on the Alternative Data Research team. In this role, you will be responsible for extracting actionable insights from our many rich alternative datasets. You will be involved at every stage of this process, including hypothesis generation, data wrangling, building and testing appropriate statistical and machine learning models, and communicating your findings to senior managers.

Qualifications:

·        Undergraduate or Master’s student graduating between December 2026 and May 2027 who is pursuing a degree Computer Science, Mathematics, Statistics, Data Science with a focus on Machine Learning and/or Generative AI techniques, or another related quantitative field.

·        Exceptional analytical, data processing and programming skills (at a minimum, python, numpy, pandas, scikit-learn, matplotlib and SQL)

·        Exceptional understanding of statistical and machine learning concepts

·        Familiarity with ETL tools and managing code repositories (GitHub)

·        Ability to clearly communicate complex and technical subject matters

·        Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment

·        Experience with the following technologies is a plus: Apache Airflow, AWS, Spark, Databricks, Deep learning frameworks (e.g., Tensorflow, Keras and PyTorch)

·        Prior experience working with alternative datasets is a strong plus.

Opportunities are available in our New York office. 

The Data Science & AI (DSAI) organization is a key part of BAM’s continued growth. Year over year, the knowledge needed to leverage data plays an increasingly important role in the firm’s core business. The analytical expertise that the Data Science & AI organization provides the firm are part of BAM’s competitive advantage. The DSAI organization supports Investment Teams across all asset classes by providing research and tools powered by data science and AI to help deliver results and PnL.

As an Applied AI Intern, you will go through a hands-on 12-week program and solve complex, real-world problems. You will experience firsthand how AI is used to enhance and support the investment process. Our internship program includes a two-week training block where you will learn how investing works at a hedge fund and get hands-on experience with our AI tools and environments before hitting the desk. It also offers mentorship and collaboration with senior members of the team in addition to the opportunity to expand your network with the greater intern cohort.

Applied AI interns will be responsible for researching and implementing generative AI solutions to empower our investment teams to work more efficiently and effectively. You’ll be involved in every phase of the analytics process, from research and idea generation to the hands-on development of systems to store, retrieve and derive insights from textual data. As part of the Applied AI team, you’ll get to see first-hand how AI can be used to enhance and support the investment process.

Qualifications:

·        Master’s or PhD student graduating between December 2026 and May 2027 who is pursuing a degree Computer Science, Mathematics, Statistics, Data Science with a focus on Machine Learning and/or Generative AI techniques, or another related quantitative field.

·        Exceptional analytical, data processing and programming skills (at a minimum, python, numpy, pandas, scikit-learn, matplotlib and SQL)

·        Exceptional understanding of statistical and machine learning concepts

·        Familiarity with ETL tools and managing code repositories (GitHub)

·        Experience training and fine-tuning large language and embedding models, and using these to build applications (e.g. using LangChain)

·        Ability to clearly communicate complex and technical subject matters

·        Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment

·        Experience with the following technologies is a plus: Vector Databases, OpenSearch, Apache Airflow, AWS, Spark, Databricks, Deep learning frameworks (e.g., Tensorflow, Keras and PyTorch)

·        AI research experience is a plus

Opportunities are available in our New York and Austin Offices.

As an Applied AI Intern, you will go through a hands-on 12-week program and solve complex, real-world problems. You will experience firsthand how AI is used to enhance and support the investment process. Our internship program includes a two-week training block where you will learn how investing works at a hedge fund and get hands-on experience with our AI tools and environments before hitting the desk. It also offers mentorship and collaboration with senior members of the team in addition to the opportunity to expand your network with the greater intern cohort.

Applied AI interns will be responsible for researching and implementing generative AI solutions to empower our investment teams to work more efficiently and effectively. You’ll be involved in every phase of the analytics process, from research and idea generation to the hands-on development of systems to store, retrieve and derive insights from textual data. As part of the Applied AI team, you’ll get to see first-hand how AI can be used to enhance and support the investment process.

Qualifications:

·        Master’s or PhD student graduating between December 2026 and May 2027 who is pursuing a degree Computer Science, Mathematics, Statistics, Data Science with a focus on Machine Learning and/or Generative AI techniques, or another related quantitative field.

·        Exceptional analytical, data processing and programming skills (at a minimum, python, numpy, pandas, scikit-learn, matplotlib and SQL)

·        Exceptional understanding of statistical and machine learning concepts

·        Familiarity with ETL tools and managing code repositories (GitHub)

·        Experience training and fine-tuning large language and embedding models, and using these to build applications (e.g. using LangChain)

·        Ability to clearly communicate complex and technical subject matters

·        Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment

·        Experience with the following technologies is a plus: Vector Databases, OpenSearch, Apache Airflow, AWS, Spark, Databricks, Deep learning frameworks (e.g., Tensorflow, Keras and PyTorch)

·        AI research experience is a plus

Opportunities are available in our New York and Austin Offices. 

Underscore VC Venture Fellow Program

About Us

Program Snapshot

Description

Career Area:

Students and Graduates

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Big machines mean big technology. Are you looking for your next big challenge?

Here at Caterpillar, we believe in The Power of Everyone. Our competitive advantage as a Fortune 100 leader begins with our employees who remain passionate, innovative, and diverse. Our most valuable work comes from the inclusive environment we’ve fostered to celebrate people of all backgrounds, ensuring everyone feels seen, heard, and valued. United under our Values in Action, our dedicated teams at Caterpillar do the work to build a better world.

What does a Digital & Analytics Internship offer?

Cat Digital is leading our industry with the utilization of data, analytics, innovation, digital channels and techniques to drive profit, create more efficient revenue growth, unlock new revenue streams, and provide more durable competitive advantages for the business through unexpectedly great experiences for our customers.
 

You’ll join a team with diverse project responsibilities and have valuable networking opportunities with all levels of Caterpillar employees. The internship is a 40-hour-per-week assignment lasting 12 weeks.
 

You can focus on building technical abilities in roles including (but not limited to):
 

Applications Engineering – Interns will be emersed in designing and rapidly developing consistent customer-centric, premium digital experiences. This includes product development, mobile and service applications, eCommerce and digital marketing, etc.

Digital Platform - Interns will work to help simplify enterprise digital infrastructure, accelerate application development, ensuring greater data availability, quality and security. Teams include but are not limited to digital data and artificial intelligence, telematics gateway and datahub, DevOps and Cybersecurity.

Data Analytics - Interns will apply analytics techniques on a very large set of diverse data from IoT connected assets, anomaly detection, business analytics, data visualization, and business marketing analytics. The Data Analytics interns contribute to the analytics project teams tasked with solving problems of medium to high complexity working in an analytics approach, related digital technology, or business domain.

Digital Business Analyst – Interns work with internal and external customers by creating, analyzing and validating business requirements, translating them into detailed functional requirements and user stories, and defining acceptance criteria and test cases.

Dealer & Customer Support – Interns will help drive deployment and support of Caterpillar’s key digital products and maturing data management processes.

Digital Connectivity – Interns will help develop, certify and deliver high quality telematics solutions to enhance customer insights.

Program Qualifications – Skills & Experience

​

Top Candidates will also have:

• Demonstrated leadership experience
• Previous technical internship, co-op, or research/relevant experience
• Participation in school clubs or student organizations
• Demonstrated experience with several of the following: Python, Java, SQL, Snowflake, AWS/Azure, Tableau, Power BI, Google Analytics, Machine Learning, Deep Learning, Salesforce, React, JavaScript, Node.js, HTML, UI Design, UX Research, writing API’s for deployment, etc.
• Relevant coursework and/or projects
• Strong analytical and problem-solving skills
• Ability to demonstrate strong communication skills, initiative, and intellectual curiosity
• Able to work independently or as a collaborative team member
• Ability to learn and comply with company policies and procedures
• Comfortable working in a dynamic environment where digital is still evolving as a core offering
• Passion for technology and an eagerness to contribute to a team-orientated environment
• Ability to clearly communicate technical ideas, regardless of the technical capacity of the audience

Compensation and Benefits:
 

At Caterpillar, our internship pay rates are standardized for Digital and Analytics roles and we take into account the number of completed semester credit hours.

Besides exciting work, Corporate Interns will experience:

• Comprehensive internship orientation
• Tours of state-of-the-art manufacturing and research facilities
• Product Demonstration
• Mentorship Programs
• Various social events
• Networking with leadership
• Business skill building
• Career discussion with leaders and experts
   

If you are interested in applying for this position, please attach a copy of your resume and an unofficial copy of your transcripts to your application.

Summary Pay Range:

$25.00 - $43.00

Intern Hour Rate:

An intern's hourly rate is based on the major/degree being pursued and the number of completed academic hours achieved before the start of the internship.

Intern Benefits:

The total rewards package, beyond base salary, may include if eligible:

• Accrued Paid Time Off (PTO)
• Paid Holidays
• Paid Volunteer Day
• Housing Stipend
• Relocation Assistance
• Medical coverage
• Voluntary benefits

Relocation is available for this position.

Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at www.caterpillar.com/careers.

Posting Dates:

September 3, 2025 - September 20, 2025

Any offer of employment is conditioned upon the successful completion of a drug screen.

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.

Systalyze is a rapidly growing startup building scalable systems for AI workloads. Built by a team of CSAIL faculty and alumni, we’re developing a foundational system to enable AI innovation at scale — the kind of system every modern AI breakthrough depends on.

The impact is already clear: in our Google Cloud partnership, Systalyze crushed the state of the art, delivering 90% efficiency gains in large-scale AI workflows. Fortune 500 enterprises are already deploying Systalyze, and demand is accelerating at a remarkable pace.

We’re now looking for our next Founding Engineer to join the team. This opportunity is rare: you’ll have the chance to build ML systems for real-world business applications with significant autonomy in a lean but exceptionally high-caliber environment.

We’ll be at the MIT Career Fair on Friday, September 19, at the Johnson Athletic Center, Booth #1002. Come say hi and hear about the groundbreaking systems we’re building.

We’re hiring across Full-Stack, Infrastructure, Systems, Performance Engineering, and AI/ML (Summer and IAP interns welcome too!). 

If you want to be part of the founding team of a startup that’s reshaping how enterprises run AI, we’d love to connect.

👉 mit-careers@systalyze.com

About Us: Blue Sarah is agentic shopping. Our goal is to reinvent the modern shopping experience. We are looking for collaborative self-starters to join our dynamic team to design engaging and intuitive software.  

Job Title: Full Stack Engineer  

Location: We absolutely allow remote, but we would love to have you join us at our Boston/Somerville HQ  

Responsibilities include: 

•    Scalable architecture design 

•    Asynchronous task orchestration 

•    Message queues 

•    API development

 •    Security and authentication 

•    Frontend performance optimization 

•    Caching strategies 

•    Database optimization 

•    Test development 

•    Observability 

•    Providing technical leadership for the team

Skills:
•    Entrepreneurial mindset 

•    Linux 

•    Javascript/Typescript, React 

•    Python

•    Swift 

•    Kotlin 

•    Git 

•    PostgreSQL, pgvector 

•    Cassandra 

•    Redis 

•    Nginx 

•    Cloud infrastructure 

•    Cl/CD

 •    Browser automation

Competitive compensation and benefits package, including healthcare and generous vacation package. 

Website: https://www.bluesarah.ai/  

Linkedln: bttps://www.Hnkedin,com/company/blue-sarab-ioc/
POC: careers@bluesarah.com 

Blue Sarah is hiring! Do you want to work in a fast-paced, high-growth tech company? Are you a Data Scientist looking to build the foundations of a modern Al application?  About Us: Blue Sarah is agentic shopping. Our goal is to reinvent the modern shopping experience. We are looking for collaborative self-starters to join our dynamic team to design engaging and intuitive software.  

Role Overview: As a UX/UI Designer at Blue Sarah, you will be responsible for creating 
user-centered designs for our web and mobile applications. You will collaborate mostly with our CRO and CTO to produce experience and interface design that is intuitive to use, visually delightful, and interfaces with our backend to meet user needs and business goals. The ideal candidate has passion for communication through design, and loves the concept of Blue Sarah. 

Key Responsibilities: 

•    User Research & Analysis:
Conduct user research and gather insights and validate design decisions. Analyze user needs, behaviors, and pain points to inform design solutions. 

•    Design & Prototyping:
Create wireframes, prototypes, and designs for web and mobile applications. Develop user flows, journey maps, and other design artifacts to communicate design concepts effectively. Design delightful, beautiful, easy to understand, and responsive interfaces for mobile and web applications. 

•    Implementation
Write code that accurately implements designs across browsers and platforms. Work with frontend and backend developers to ensure stability and performance. Use browser automation to test functionality throughout development. 

•    Collaboration & Communication:
Work closely with our CTO and Product development team to understand project requirements and constraints. Work with developers to ensure the accurate implementation of design specifications. Present and articulate design decisions, rationale, and trade-offs to team members and other stakeholders. 

•    Continuous Improvement:
Run usability testing to iterate on designs based on user feedback and analytics to enhance user satisfaction and engagement. Stay up-to-date with industry trends, tools, and best practices to continuously improve design processes and outcomes.

Skills: 
•    Proficiency in design tools such as Adobe Creative Suite, Sketch, Figma. 

•    Strong understanding of user-centered design principles and methodologies. 

•    Experience with responsive design and mobile-first design strategies. 

•    HTML, CSS, JavaScript, Typescript, Swift, Katlin.

Softskills:

•    Strong entrepreneurial spirit. 

•    Excellent problem-solving skills and attention to detail. 

•    Strong communication and presentation skills. 

•    Ability to work collaboratively in a fast-paced environment. 

•    Passion for our business and creating exceptional user experiences with an eye for clean and impressive visual design.

Competitive compensation and benefits package, including healthcare and generous vacation package. 

Website: https://www.bluesarah.ai/ 
Linkedln: https://www.linkedin.com/company/blue-sarah-inc/ 

POC: careers@bluesarah.com  

Blue Sarah is hiring! Do you want to work in a fast-paced, high-growth tech company? Are you a Data Scientist looking to build the foundations of a modern Al application?  About Us: Blue Sarah is agentic shopping. Our goal is to reinvent the modern shopping experience. We are looking for collaborative self-starters to join our dynamic team to design engaging and intuitive software.  

Job Title: Senior Data Scientist  

Location: We absolutely allow remote, but we would love to have you join us at our Boston/Somerville HQ  

Responsibilities include: 

•    Developing full data pipelines for production systems 

•    Automating data validation 

•    LLM fine-tuning 

•    Optimizing semantic embeddings 

•    Clustering high-dimensional sparse data 

•    Building recommendation systems 

•    Creating visualizations to understand how models are working 

•    Model performance monitoring 

•    Tuning the tradeoffs between model speed and accuracy to meet user experience goals 

•    Proposing solutions and strategies for business challenges 

•    Collaborating with the business and engineering teams to deliver scalable
consumer-facing implementations

Skills:

•    Entrepreneurial mindset 

•    Python 

•    SQL 

•    Machine Learning 

•    Statistics 

•    Data visualization

 •    Familiarity with software development

 •    Excellent communication skills

 •    Degree in Computer Science, Engineering, Physics, Math or other relevant field is preferred

Competitive compensation and benefits package, including healthcare and generous vacation package. 

Balyasny Asset Management L.P. (BAM) founded in 2001, is a global institutional investment firm. We strive to deliver consistent, uncorrelated, absolute returns in all market environments by fostering a culture of research, innovation, and collaboration. BAM exists at the intersection of finance and technology, combining the deep industry knowledge of leading portfolio managers and financial analysts with software engineers and quantitative researchers. We leverage the collective expertise of our teams to seek out new investment opportunities, analyze market conditions, minimize risk, and provide superior service to our investment partners.

With 2,000+ employees in 17 offices around the world, we embrace a culture that welcomes the free flow of ideas, promotes career development, and supports the health and well-being of our people through world-class benefits. At BAM, we are our talent. We are a growing firm that offers a multitude of professional opportunities. Through BAM’s selective hiring process, we target the best and brightest in the business and strive to create an environment which attracts and retains top talent. Maintaining a culture where people are energized to come to work is paramount to our success. Our team is motivated to perform each and every day.

The Data Science & AI (DSAI) organization is a key part of BAM’s continued growth. Year over year, the knowledge needed to leverage data plays an increasingly important role in the firm’s core business. The analytical expertise that the Data Science & AI organization provides the firm are part of BAM’s competitive advantage. The DSAI organization supports Investment Teams across all asset classes by providing research and tools powered by data science and AI to help deliver results and PnL. 

As a Data Science & AI Intern, you will go through a hands-on 12-week program and solve complex, real-world problems. You will experience firsthand how data science and AI are used to enhance and support the investment process. Our internship program includes a two-week training block where you will learn how investing works at a hedge fund and get hands-on experience with our DSAI tools and environments before hitting the desk. It also offers mentorship and collaboration with senior members of the team in addition to the opportunity to expand your network with the greater intern cohort.

Single Application, Dual Consideration:

By applying to the Data Science & AI Internship, you will automatically be considered for both the Data Science and Applied AI Research tracks within the DSAI organization. Our interview process is designed to assess your skills and interests across both areas, ensuring you are matched to the team and projects where you can have the greatest impact. You do not need to submit separate applications for each track.

·        Data Science: Data Science Interns work on the Geospatial + Alternative Data team. In this role, you will be responsible for extracting actionable insights from our many rich alternative datasets. You will be involved at every stage of this process, including hypothesis generation, data wrangling, building and testing appropriate statistical and machine learning models, and communicating your findings to senior managers.

·        Applied AI: Applied AI Research interns will be responsible for researching and implementing generative AI solutions to empower our investment teams to work more efficiently and effectively. You’ll be involved in every phase of the analytics process, from research and idea generation to the hands-on development of systems to store, retrieve and derive insights from textual data. As part of the Applied AI team, you’ll get to see first-hand how AI can be used to enhance and support the investment process. 

Qualifications:

·        Master’s or PhD student graduating between December 2026 and May 2027 who is pursuing a degree Computer Science, Mathematics, Statistics, Data Science with a focus on Machine Learning and/or Generative AI techniques, or another related quantitative field. 

·        Exceptional analytical, data processing and programming skills (at a minimum, python, numpy, pandas, scikit-learn, matplotlib and SQL)

·        Exceptional understanding of statistical and machine learning concepts 

·        Familiarity with ETL tools and managing code repositories (GitHub) 

·        Experience training and fine-tuning large language and embedding models, and using these to build applications (e.g. using LangChain)

·        Ability to clearly communicate complex and technical subject matters

·        Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment

·        Experience with the following technologies is a plus: Vector Databases, OpenSearch, Apache Airflow, AWS, Spark, Databricks, Deep learning frameworks (e.g., Tensorflow, Keras and PyTorch)

·        Academic or industry experience in the following fields is a plus for our Geospatial + Alt Data teams: natural science, spectral imaging, hydrology, meteorology, weather/flood modelling, computer vision, econometrics 

Opportunities are available in our New York and Austin Offices.

Balyasny Asset Management L.P. (BAM) founded in 2001, is a global institutional investment firm. We strive to deliver consistent, uncorrelated, absolute returns in all market environments by fostering a culture of research, innovation, and collaboration. BAM exists at the intersection of finance and technology, combining the deep industry knowledge of leading portfolio managers and financial analysts with software engineers and quantitative researchers. We leverage the collective expertise of our teams to seek out new investment opportunities, analyze market conditions, minimize risk, and provide superior service to our investment partners.

With 2,000+ employees in 17 offices around the world, we embrace a culture that welcomes the free flow of ideas, promotes career development, and supports the health and well-being of our people through world-class benefits. At BAM, we are our talent. We are a growing firm that offers a multitude of professional opportunities. Through BAM’s selective hiring process, we target the best and brightest in the business and strive to create an environment which attracts and retains top talent. Maintaining a culture where people are energized to come to work is paramount to our success. Our team is motivated to perform each and every day.

The Data Science & AI (DSAI) organization is a key part of BAM’s continued growth. Year over year, the knowledge needed to leverage data plays an increasingly important role in the firm’s core business. The analytical expertise that the Data Science & AI organization provides the firm is part of BAM’s competitive advantage. The DSAI organization supports Investment Teams across all asset classes by providing research and tools powered by data science and AI to help deliver results and PnL. 

Overview

We are seeking a highly skilled Data Engineer Summer Associate to join the Data Science & AI Academy at BAM in summer 2026. In this role, you will help to design, develop, and maintain our data infrastructure. You will be responsible for creating data systems and pipelines that enable effective management, analytics, and reporting for large, complex datasets. In doing so, you will gain a solid understanding of enterprise development and exposure to a wide range of cloud and enterprise technologies.

Responsibilities

·        Develop and deploy data pipelines and workflows in the cloud

·        Create data models and infrastructure for a wide variety of market and alternative datasets

·        Design and build services and plugins to enhance our data platform

·        Participate in data architecture discussions

·        Maintain alerting systems to ensure smooth day-to-day operations for hundreds of datasets

·        Author tests to validate data quality and the stability of the platform

·        Help document and maintain internal processes and data management policies

Qualifications & Requirements

Pursuing a bachelor’s or master’s degree in data science, computer science, engineering, or a related quantitative field with a graduation date of December 2026 or Spring 2027.

·        Outstanding programming skills: SQL and Python experience is required

·        Experience with data architectures, data modelling, and database design principles

·        Experience deploying data-driven application to production

·        Experience working in and with containers

·        Familiarity with Kubernetes

·        Familiarity with ETL tools and data ingestion techniques

·        Strong analytical and problem-solving skills

·        Excellent communication skills

·        Ability to work independently and collaborate with cross-functional teams

·        Working knowledge of various relational and NoSQL databases is a plus

·        Bonus points for experience with AWS or other cloud-based services

Opportunities are available in our Austin Office. 

Description: As the Go-To-Market Lead, you will be responsible for driving the commercial success of Skyline Nav AI’s cutting-edge visual navigation solutions. Your focus will be on generating and closing new business opportunities, spearheading product marketing initiatives, and cultivating long-term customer relationships. 

This is a high-impact role requiring a strategic mindset, a passion for innovation, and the ability to execute sales and marketing strategies in a fast-paced, technology-driven environment. You'll represent the company in meetings, at conferences, and during client engagements, requiring significant travel.

This role is ideal for candidates with 1 to 2 years of industry experience (including internships).

Responsibilities:

1. Lead outbound sales efforts and maintain a robust sales pipeline to identify and close new business opportunities.

2. Develop and execute go-to-market strategies to effectively position Skyline Nav AI’s solutions in the commercial, defense, and space sectors.

3. Build and nurture customer relationships, acting as the primary point of contact for high-value clients.

4. Collaborate with product and engineering teams to refine marketing messages and ensure successful product launches.

5. Identify revenue-generating opportunities and drive profitable growth through a combination of market analysis and customer feedback.

6. Travel to customer sites and industry events (up to 50% of the time) to promote products and close deals.

Requirements:

1. Proven experience in a go-to-market, business development, or product marketing role, preferably in technology or AI-driven industries.

2. Strong track record of generating leads, closing deals, and achieving revenue targets.

3. Excellent communication and presentation skills, with the ability to clearly articulate complex technical solutions to diverse stakeholders.

4. Ability to travel extensively to meet with clients and represent the company at events (up to 50% of the time).

5. Self-motivated and able to work in a fast-paced, dynamic startup environment.

Preferred:

1. Experience in positioning, navigation, or related technologies such as GPS, AI, or computer vision.

2. Familiarity with government, defense, or aerospace sectors.

3. Previous experience with API-based or SDK-based products.

We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within a few days of applying. 

If you are passionate about visual navigation and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, remote work and opportunities for growth within our company.

If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.

Description: Skyline Nav AI, Inc. is a well-funded, commercially successful scale-up focused on revolutionizing visual navigation technology as an alternative to GPS, for our commercial and military customers. We are seeking highly motivated and hungry recent graduates (Bachelor's/Master's) who are passionate about computer vision, computer graphics and AI to join our team.

As an Implementation Engineer, you will be working under the tutelage of two experienced product and R&D focused folks who have delivered many products to market. You will be responsible for developing and implementing computer vision algorithms, GPU shaders, and machine learning models to help our technology achieve high-accuracy visual navigation.

This role is ideal for candidates with 1 to 5 years of industry experience.

Responsibilities:

1. Design, develop, and test computer vision algorithms and GPU shaders for visual navigation.

2. Implement machine learning models for object detection and tracking.

3. Work collaboratively with cross-functional teams including hardware engineers, front-end engineers, system architects, and product managers to ensure the success of our product.

4. Optimize code for performance and scalability.

5. Continuously learn new technologies and stay up-to-date with the latest trends in computer vision and AI.

Requirements:

1. Candidate must be a US citizen, eligible for US Department of Defense Security Clearance. 

2. Bachelor's/Master's degree in Computer Science, Electrical Engineering or related field.

3. Strong programming skills in Python and C++.

4. Experience in mobile programming such as Objective C, Kotlin or Java.

5. Proficiency in GPU shaders for optimization and parallelization.

6. Familiarity with deep learning frameworks such as TensorFlow or PyTorch.

7. Good understanding of computer vision, image processing, and machine learning.

8. Ability to work in a fast-paced, dynamic startup environment.

9. Ability to pass national security and background checks.

Preferred:

1. Experience with visual navigation or similar technologies.

2. Knowledge of drones and autonomous vehicle systems.

3. Familiarity with Git and Agile software development methodologies.

We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within a few days of applying. 

If you are passionate about visual navigation and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, remote work and opportunities for growth within our company.

If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.

Description: Skyline Nav AI, Inc. is a well-funded, commercially successful scale-up focused on revolutionizing visual navigation technology as an alternative to GPS, for our commercial and military customers. We are seeking highly motivated and hungry recent graduates (Bachelor's/Master's/PhD's) who are passionate about computer vision, robotics and AI to join our team.

As a R&D Engineer, you will be responsible for developing and productionizing computer vision algorithms and machine learning models to help our technology achieve high-accuracy visual navigation. This includes developing new algorithms, as well as optimizing existing methods for real-time use on edge-devices.

Requirements:

1. Candidate must be a US citizen, eligible for US Department of Defense Security Clearance

2. B.S./M.S./Ph.D. degree in Computer Science, Electrical Engineering or related field

3. Strong programming skills in Python and C++

4. Proficient working with computer vision and machine learning concepts

5. Ability to work in fast-paced dynamic startup environment

Preferred:

- Experience with visual navigation or similar technologies

- Knowledge of drones and autonomous vehicle systems

We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within a few days of applying. 

If you are passionate about visual navigation and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, remote work and opportunities for growth within our company.

If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.

About Korl

Korl uses AI to automatically generate personalized, customer-specific presentations for critical business moments like QBRs (Quarterly Business reviews) and renewals. We're solving a real pain point by helping companies showcase their value to customers through data-driven, tailored content instead of generic templates. Our platform connects to tools like Salesforce, Jira, and Figma to build a holistic view of products and customers, then uses AI to craft compelling narratives.

Who We're Looking For

We're looking to hire passionate Computer Science students for full-time positions. We're seeking builders who are excited about:

• Designing and building scalable distributed systems and APIs.

• Working with cutting-edge AI/ML technologies (LLMs, agentic workflows).

• Tackling complex data integration and transformation challenges.

• Creating products that have an immediate, visible impact on customers.

What You'll Work On

We all contribute directly to core infrastructure and AI projects. Some of the more important projects and technologies:

• Centralized Data Access Service (CDAS): Build our unified data layer using Google Cloud Run, gRPC, and Protocol Buffers. You'll tackle challenging problems in schema versioning and data transformation, and create elegant abstractions for complex data models that serve as the backbone of our entire platform.

• Integration Platform: Design the systems that rapidly connect to external services (Salesforce, HubSpot, etc.) and normalize their data. This is a crucial, high-impact project for generating customer-specific insights at scale.

• AI-Powered Presentation Generation: Work with Large Language Models (LLMs) and agentic AI systems to automatically create tailored content. You'll handle large-scale data processing and build intelligent workflows that know precisely when to leverage AI versus when to rely on deterministic logic.

Why Join Korl?

• High-Impact Work: Work directly with experienced engineers on production systems serving real customers.

• Ship Fast: See your code ship quickly and make an immediate impact.

• Modern Tech Stack: Gain deep experience with Python, gRPC, Google Cloud, LLMs, and distributed systems.

• Small Team, Big Voice: Join a small, agile environment where your ideas and contributions truly matter.

Interesting Problems: Tackle fascinating challenges at the intersection of AI, data engineering, and product development.

Contact sumeet@korl.co if interested

Robotics R&D Intern – Large Behavior Models & Dual‑Arm Manipulation

(Spring/Summer 2026)

Location: Cambridge, MA — (In-person, MassRobotics). Duration: 12–16 weeks | Spring

(Jan–Apr, part-time available) and/or Summer (May–Aug, full-time) 2026

About IntuitiveMotion.AI

Born out of Harvard Business School and UT Austin’s renowned robotics community,

IntuitiveMotion.AI is building end‑to‑end manipulation systems that combine data‑efficient

classical robotics with emerging Large Behavior Model (LBM) methods. Our mission is to

unlock reliable, scalable automation for dynamic, human‑centric workspaces—beginning

in hospitality and adjacent verticals.

Why This Role Matters

In the next 12 months we will harden our software stack and expand from a single

customer pilot to several multi‑site deployments. Your research and engineering will

directly influence the robustness, adaptability, and scientific rigor of that scale‑up.

What You’ll Work On

• Hybrid Modeling Pipeline: Organize and expand our data pipelines, feeding

analytically generated trajectories into LBM pre‑training and richly annotated

tele‑op demonstrations into subsequent fine‑tuning—all within a unified, modular

framework.

• Demonstration Infrastructure: Strengthen and extend our existing tele‑operation

stack—improving latency, tactile feedback, and operator UX—while scaling data

ingestion and labeling pipelines.

• Simulation‑Based Testing & Validation: Build automated test harnesses in

simulation to stress‑test policies (robustness, regression, safety) and benchmark

performance under domain randomization before new hardware deployments

• System Reliability at Scale: Contribute to CI/CD, monitoring, and fault‑recovery

that will keep a fleet of robots productive and safe in production next year.Ideal Profile

• Currently pursuing a PhD or exceptional MS in Robotics, CS, EE

(Spring/Summer 2026 availability).

• Published or project experience in at least one: imitation learning, reinforcement

learning, manipulation, sim‑to‑real, or robotic perception.

• Proficient in Python/C++ and modern ML toolchains (PyTorch, JAX, or TensorFlow).

• Solid grasp of control theory, kinematics, and motion planning.

• Comfortable debugging on real hardware (ROS 2, MoveIt, NVIDIA Jetson/Orin, Dell

Aurora or similar).

Nice to Haves

• Experience with dual‑arm or mobile manipulation platforms.

• Statistical experiment design or MLOps background (e.g., A/B testing frameworks).

How to Apply

Send your résumé/CV plus links to any relevant papers or GitHub repos to

cecilia@intuitivemotion.ai with subject line “Robotics Intern 2026 – [Your Name]”.

Founding Software Engineer | Brace Health

Location: Cambridge, MA (In-person) Job Type: Full-Time

We’re building a new financial infrastructure of healthcare—reimagining how patients access coverage and how providers get paid. Our goal: reduce the cost of healthcare with purpose-built AI agents that streamline the billing maze so clinics can invest in care, not paperwork.

We’ve raised ~$4M from Bessemer Venture Partners (backers of Shopify, LinkedIn, and Toast), grown 10x in the last 60 days, and built a 6+ month customer waitlist with no sales/marketing.

We're now assembling a world-class founding engineering team. You’ll work alongside a technical founding team with backgrounds at Microsoft, Amazon, Meta, and Bain, and help shape the systems that power the future of healthcare.

What will you do:

● Core Systems Development: Build vertically integrated infrastructure that automates medical billing from end to end. Own mission-critical backend systems using Rust, Python, Kubernetes.

● AI-Driven Automation: Design and deploy production AI/ML systems that navigate complex payer rules and workflows. Work across LLMs, traditional ML, and multi-agent architectures.

● End-to-End Product Ownership: Build beautiful, high-performance frontend experiences with React, Remix, TypeScript. Collaborate directly with users to ship fast and improve constantly.

● Infrastructure & Reliability: Design for resilience, scale, and performance. Own our deployment stack across AWS, Kubernetes, and modern observability tools.

● Team & Culture: Join a small, elite team with high ownership. Help shape engineering culture, mentor peers, and lay the technical foundation for a category-defining company.

Who you are:

● A builder. You’ve owned and shipped complex systems in production, and you like to move fast without breaking things.

● Mission-driven. You care about building tools that improve people’s lives—and you’re energized by the chance to fix healthcare’s most painful problems.

● Gritty and curious. You learn quickly, ask good questions, and keep pushing until things work.

Our Stack:

● Rust for backend services: safe, fast, and reliable

● React + Remix + TypeScript for delightful user interfaces

● Python for AI/ML workflows

● AWS + Kubernetes for scalable infrastructure

● LLMs from OpenAI, Anthropic, Gemini, and open source

Why this matters:

Healthcare is the largest and most essential market in the world—but it’s riddled with complexity and inefficiency. Americans carry over $200B in medical debt, while providers spend $300B+ per year just trying to get reimbursed by insurance. The system is opaque, expensive, and broken—for both patients and doctors.

We believe this can be better. By rebuilding the billing layer with modern software and AI, we can unlock massive value: better access for patients, better economics for clinics, and less waste across the entire system.

Join Us: This is a rare opportunity to help architect foundational infrastructure in a trillion-dollar industry. If you're hungry to solve real problems, move fast, and build something that matters—we want to meet you

Link here to apply & learn more.

Member of the Technical Team - Create your own adventure

• We believe greatness can come from curiosity driven exploration. If you don’t
  find yourself aligned to one of the listed roles, but care about this
  problem, we want to hear from you too.

Preferences:

• Degree or experience in fields that may support leveraging AI/ML to make
  experimental science more reproducible, interpretable, and transferable at
  scale.

• Startup or early-stage experience preferred; comfort with ambiguity and rapid
  iteration is a must.

• Ideal candidates are located within commuting distance from Cambridge, MA.

Member of the Technical Team - Product

What you’ll accomplish with us:

• Lead qualitative and quantitative research efforts to understand user workflows, pain points, and tacit practices—both in our internal labs and those of our partners.

• Translate messy, real-world insights into structured requirements that drive product design, system architecture, and AI model development.

• Develop user personas, journey maps, and usability testing frameworks to inform iterative product development cycles.

• Bring cross-functional initiatives from concept to delivery. Establish milestones, communication cadences, and decision-making frameworks.

• Become customer obsessed. Initiate, support, and lead program execution with external partners and collaborators to capture, document, and deliver results.

• Develop intuitive, usable tools and UIs in partnership with the engineering team to support scientist workflows.

• Partner with scientists, engineers, and designers to prototype and evaluate interfaces and tools that improve documentation, decision-making, and experimental reproducibility.

• Help define and implement product standards for usability, accessibility, and cross-platform cohesion across the experimental ecosystem.

• Identify opportunities to reduce friction in data capture, tacit knowledge transfer, and human-AI collaboration.

• Support customer deployments by embedding into partner labs, piloting new workflows, troubleshooting edge cases, and capturing lessons learned.

• Support onboarding and training with customer-embedded scientists to ensure product adoption and feedback loops are tight and actionable.

Requirements:

• Experience in human-computer interaction (HCI), cognitive science, UX research, product design, or a related field.

• Demonstrated ability to turn ideas into functional prototypes. Ability to build quickly, test often, and refine thoughtfully—balancing prototypes with production quality as the company scales.

• Demonstrated ability to lead user research and synthesize findings into actionable design or product decisions—especially in complex or technical domains.

• Experience designing or improving tools for expert users, particularly in scientific, technical, or data-intensive environments.

• Comfort working at the intersection of product, engineering, and domain-specific users (e.g., bench scientists, ML researchers).

• Excellent communication and storytelling skills—able to advocate for customer needs while navigating technical and strategic constraints.

Additional preferences:

• Experience in a scientific or research-intensive environment—academic labs, biotech R&D, national labs, or similar.

• Familiarity with experimental workflows, lab automation, or scientific instrumentation.

• Experience building AI/ML-powered products from ideation to deployment.

• Startup or early-stage experience preferred; comfort with ambiguity and rapid iteration is a must.

• Ability to clearly communicate technical concepts to cross-functional teams and collaborate on projects spanning AI, biology, and product.

• Ideal candidates are located within commuting distance from Cambridge, MA.

Member of the Technical Team - Biomedical Scientist

What you’ll accomplish with us:

• Design, execute, and optimize experimental protocols across molecular and cellular biology domains with a focus on reproducibility and transferability and integration with AI ML models.

• Partner with our AI/ML and software teams to generate high-quality, structured data from experimental workflows—including edge cases and failure modes—that inform product design.

• Identify critical variables and hidden steps in experimental workflows, documenting processes in a way that enables robust handoff to humans and machines alike.

• Collaborate with internal R&D teams to scale and stress-test protocols across different lab environments, automation platforms, and execution conditions.

• Support customer deployments by embedding into partner labs, piloting new workflows, troubleshooting edge cases, and capturing lessons learned.

• Act as a bridge between the field and our product/engineering teams, articulating real-world constraints and needs to shape the development of tools and infrastructure.

• Develop and maintain experimental benchmarking frameworks to validate reproducibility, accuracy, and scalability across lab settings.

• Play a key role in shaping how we operationalize the capture of tacit biological know-how—from protocol intent to executional nuance.

• Become customer obsessed. Initiate, support, and lead program execution with external partners and collaborators to capture, document, and deliver results.

• Stay on top of the latest research in biomedicine and life sciences with an eye to integrate ML/AI and evaluate its applicability to our platform. We will support opportunities to publish or present where appropriate to establish technical leadership.

Requirements:

• PhD or advanced degree in Molecular Biology, Bioengineering, Computational Biology, or a related field.

• Demonstrated hands-on lab experience (industry or academic) with modern wet lab techniques including cell culture, protein engineering, and/or automation.

• Familiarity with digital lab tools (e.g., ELNs, LIMS, lab automation systems) and a desire to improve scientific workflows.

• Exceptional experimental design skills with a strong bias toward documentation, reproducibility, and iteration.

• Ability to troubleshoot protocols systematically, with attention to both technical detail and human variability.

• Ability to clearly communicate technical concepts to cross-functional teams and collaborate on projects spanning AI, biology, and product.

• Located within commuting distance from Cambridge, MA.

Additional preferences:

• Experience working with or supporting internal lab teams as well as direct customer-facing work in partner or external lab environments.

• Startup or early-stage experience preferred; comfort with ambiguity and rapid iteration is a must.

• Demonstrated experience using AI/ML tools in research, whether for experimental design, data analysis, or predictive modeling.

Member of the Technical Team - AI/ML Software Engineer

What you’ll accomplish with us:

• Develop end-to-end AI and software systems that enable reproducible and transferable science at scale.

• Design and implement multimodal data pipelines (for both pre-training and reinforcement learning).

• Collaborate closely with scientists and engineers across teams to drive alignment and ensure knowledge flows efficiently.

• Bring cross-functional initiatives from concept to delivery. Establish milestones, communication cadences, and decision-making frameworks.

• Become customer obsessed. Initiate, support, and lead program execution with external partners and collaborators to capture, document, and deliver results.

• Develop intuitive, usable tools and UIs in partnership with product and design to support scientist workflows.

• Evaluate and integrate external tools, open-source models, and strategic partners.

• Work alongside the biology and operations teams to identify automation opportunities and improve experiment documentation and reproducibility.

Requirements:

• Strong programming expertise, with experience in software engineering, data systems, machine learning, and/or AI product and model development.

• Fluency in Python, modern ML libraries (e.g., PyTorch), and cloud infrastructure (e.g., AWS, GCP)

• Demonstrated ability to turn ideas into functional prototypes. Ability to build quickly, test often, and refine thoughtfully—balancing prototypes with production quality as the company scales.

Additional preferences:

• PhD or advanced degree in Machine Learning, Computer Science, or related field.

• Experience in software engineering, data systems, machine learning, or AI product development in a scientific settings (either academic or industry)

• Experience building AI/ML-powered products from ideation to deployment

• Startup or early-stage experience preferred; comfort with ambiguity and rapid iteration is a must.

• Ability to clearly communicate technical concepts to cross-functional teams and collaborate on projects spanning AI, biology, and product.

• Ideal candidates are located within commuting distance from Cambridge, MA.

Member of the Technical Team - AI/ML Scientist

What you’ll accomplish with us:

• Design and implement novel machine learning approaches—especially in pre-training, multimodal learning, and reinforcement learning—to make experimental science more reproducible, interpretable, and transferable at scale.

• Design and develop AI models that can learn from experimental protocols, lab execution data, and failure modes to suggest, simulate, or guide future experiments.

• Develop and implement data collection strategies—including computer vision, audio, and sensor-driven interfaces—to capture tacit knowledge embedded in physical lab workflows and human decision-making.

• Become customer obsessed. Initiate, support, and lead program execution with external partners and collaborators to capture, document, and deliver results.

• Develop and test internal and external benchmarks, validation strategies, and frameworks for testing reproducibility, robustness, and scientific utility.

• Work alongside the biology and operations teams to identify automation opportunities, uncover latent structures in messy lab data, capture tacit knowledge, and improve experiment documentation and reproducibility.

• Translate scientific hypotheses into computational experiments, analyzing model behavior and experimental results to draw actionable insights.

• Stay on top of the latest research in ML/AI and evaluate its applicability to our platform. We will support opportunities to publish or present where appropriate to establish technical leadership.

Requirements:

• Advanced degree in Computer Science, Machine Learning, or a related field.

• Deep expertise in generative models, representation learning, multimodal learning, reinforcement learning, and/or causal inference.

• Fluency in Python, modern ML libraries (e.g., PyTorch), and cloud infrastructure (e.g., AWS, GCP)

• Demonstrated ability to design and implement ML models in noisy, complex, real-world settings—ideally involving biological or scientific data.

Additional preferences:

• Experience in a scientific or research-intensive environment—academic labs, biotech R&D, national labs, or similar.

• Familiarity with experimental workflows, lab automation, or scientific instrumentation.

• Startup or early-stage experience preferred; comfort with ambiguity and rapid iteration is a must.

• Ability to clearly communicate technical concepts to cross-functional teams and collaborate on projects spanning AI, biology, and product.

• Ideal candidates are located within commuting distance from Cambridge, MA.

C10 Labs is an AI-focused venture studio that is dedicated to identifying, funding, and scaling the next generation of AI-driven startups. With a keen eye for transformative technology, we focus on early-stage investments in AI, machine learning, deep learning, natural language processing, and other cutting-edge technologies that are reshaping industries. As we continue to grow, we are looking for talented and driven individuals to help us discover the most promising startups and founders in the AI space.

Position Overview: As a Venture Fellow/ Investor, you will play a crucial role in sourcing high-potential investment opportunities within the AI ecosystem. You will be responsible for identifying emerging startups, evaluating technology trends, building relationships with founders, and collaborating with the investment team to support the fund’s growth. You will have the opportunity to work closely with a dynamic team of investors and contribute to the development of the fund's portfolio.

Key Responsibilities:

• Identify and research early-stage AI startups and innovative technology trends across various sectors.
• Build and maintain relationships with entrepreneurs, accelerators, incubators, academic institutions, and other networks in the AI space.
• Attend AI-related events, meetups, and conferences to expand your network and stay updated on industry developments.
• Conduct initial due diligence on potential investment opportunities by evaluating the product, market potential, team dynamics, and technical aspects.
• Provide insights and recommendations based on your findings to the investment team, highlighting the most promising startups and technologies.
• Continuously track and analyze developments in the AI sector, including key innovations, trends, funding rounds, and exits.
• Act as a key point of contact for founders, offering guidance and support in their early-stage journey.
• Foster long-term relationships with founders that could lead to future investment opportunities.

Qualifications:

• Technical Knowledge: A solid understanding of AI technologies (such as machine learning, natural language processing, computer vision, etc.) and their applications in various industries.
• Network/Community Building: An interest in meeting people from various backgrounds and skillsets
• Analytical Skills: Strong ability to evaluate business opportunities, assess market potential, and conduct due diligence.
• Communication: Excellent verbal and written communication skills, with the ability to present complex technical information in an accessible way.
• Proactive & Self-motivated: Ability to work independently and take initiative in sourcing new opportunities and building relationships.

What We Offer:

• An exciting opportunity to have a front seat to some of the most innovative, early-stage, AI companies in the world
• A chance to collaborate and innovate with founders and builders 
• Exposure to real-world AI projects and applications.
• Access to broader C10 Community including exclusive events and activities  

This position will be available during the fall semester- September to December with the opportunity to extend if there is mutual interest. 

NRGCO, a C10 Labs incubated company, is building autonomous AI agents to monitor, optimize, and protect critical infrastructure—power plants, data centers, power grids, water systems, and mobility networks—against climate and operational risks. Think intelligent systems that reason, self-heal, and act in real time across the edge-cloud continuum.

We’re looking for a founding CTO to architect and lead our AI platform, bringing together multi-agent systems, real-time data pipelines, and frontier models (LLMs, graph AI, digital twins). You’ll set the technical roadmap, build and scale the core engineering team, and shape NRGCO’s product into a category-defining resilience platform.

What will you do: 

• Technology Strategy & Architecture: (i) Define and lead the technical vision and roadmap of the company’s AI platform. (ii) Architect a scalable, secure, and high-performance AI/ML infrastructure for large-scale enterprise deployment. (iii) Oversee the development of a unified data model, model-driven architecture, and reusable microservices architecture
• Platform Leadership: Architect and evolve agentic autonomy across compute, energy, and infrastructure domains using LLMs, graph AI, digital twins, and control systems.
• Systems Integration: Oversee real-time agent orchestration, sensor/actuator pipelines, workload and energy optimization.
• Reliability & Scale: Build enterprise-grade infrastructure achieving "five‑9s" reliability—breaking silos between diagnostics, mitigation, and prevention.
• Team & Culture: Grow engineering, research, and infra teams, instilling a mission-driven, agile mindset.
• Innovation & AI Thought Leadership: Evaluate emerging technologies (LLMs, multi-agent systems, edge AI, MLOps, etc.) for integration into the platform.
• Strategic Partnerships: Lead tech due diligence and collaboration with industry leaders

Who you are: 

• Proven experience of 10+ years in senior R&D/platform roles—cloud infrastructure, AI systems (LLM-level), or real-time operations, with at least 4+ years in a startup environment.
• Proven track record in architecting self-healing, distributed systems with microservices, containerization, and edge-to-cloud orchestration.
• Passion for climate tech, sustainability, and mission-critical engineering.
• Outstanding technical leadership and communication—able to inspire investors, regulators, and enterprise customers.
• Startup or founding team experience, having brought a product from 0→1
• MS/Ph.D. in Computer Science/Engineering, Operations Research, or AI.
• Experience building and leading high-caliber, globally distributed engineering teams. 

Preferred Experience

• Background at a company similar to C3.ai, GE
• Vernova, Siemens Energy, XMPRO, Snowflake, or other enterprise AI/data platforms
• Prior experience with energy, data centres, utilities, or industrial applications of AI.
• Open-source contributions or patents in AI, software engineering, or enterprise systems.
   

This will be an equity compensated role to start with salary to be determined upon closing of the first round of fundraising.

Description: As the Go-To-Market Lead, you will be responsible for driving the commercial success of Skyline Nav AI’s cutting-edge visual navigation solutions. Your focus will be on generating and closing new business opportunities, spearheading product marketing initiatives, and cultivating long-term customer relationships. 

This is a high-impact role requiring a strategic mindset, a passion for innovation, and the ability to execute sales and marketing strategies in a fast-paced, technology-driven environment. You'll represent the company in meetings, at conferences, and during client engagements, requiring significant travel.

This role is ideal for candidates with 1 to 2 years of industry experience (including internships).

Responsibilities:

1. Lead outbound sales efforts and maintain a robust sales pipeline to identify and close new business opportunities.

2. Develop and execute go-to-market strategies to effectively position Skyline Nav AI’s solutions in the commercial, defense, and space sectors.

3. Build and nurture customer relationships, acting as the primary point of contact for high-value clients.

4. Collaborate with product and engineering teams to refine marketing messages and ensure successful product launches.

5. Identify revenue-generating opportunities and drive profitable growth through a combination of market analysis and customer feedback.

6. Travel to customer sites and industry events (up to 50% of the time) to promote products and close deals.

Requirements:

1. Proven experience in a go-to-market, business development, or product marketing role, preferably in technology or AI-driven industries.

2. Strong track record of generating leads, closing deals, and achieving revenue targets.

3. Excellent communication and presentation skills, with the ability to clearly articulate complex technical solutions to diverse stakeholders.

4. Ability to travel extensively to meet with clients and represent the company at events (up to 50% of the time).

5. Self-motivated and able to work in a fast-paced, dynamic startup environment.

Preferred:

1. Experience in positioning, navigation, or related technologies such as GPS, AI, or computer vision.

2. Familiarity with government, defense, or aerospace sectors.

3. Previous experience with API-based or SDK-based products.

We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within a few days of applying. 

If you are passionate about visual navigation and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, remote work and opportunities for growth within our company.

If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.

To be considered for this role, please complete this brief application form.

Description: Skyline Nav AI, Inc. is a well-funded, commercially successful scale-up focused on revolutionizing visual navigation technology as an alternative to GPS, for our commercial and military customers. We are seeking highly motivated and hungry recent graduates (Bachelor's/Master's) who are passionate about computer vision, computer graphics and AI to join our team.

As an Implementation Engineer, you will be working under the tutelage of two experienced product and R&D focused folks who have delivered many products to market. You will be responsible for developing and implementing computer vision algorithms, GPU shaders, and machine learning models to help our technology achieve high-accuracy visual navigation.

This role is ideal for candidates with 1 to 5 years of industry experience.

Responsibilities:

1. Design, develop, and test computer vision algorithms and GPU shaders for visual navigation.

2. Implement machine learning models for object detection and tracking.

3. Work collaboratively with cross-functional teams including hardware engineers, front-end engineers, system architects, and product managers to ensure the success of our product.

4. Optimize code for performance and scalability.

5. Continuously learn new technologies and stay up-to-date with the latest trends in computer vision and AI.

Requirements:

1. Candidate must be a US citizen, eligible for US Department of Defense Security Clearance. 

2. Bachelor's/Master's degree in Computer Science, Electrical Engineering or related field.

3. Strong programming skills in Python and C++.

4. Experience in mobile programming such as Objective C, Kotlin or Java.

5. Proficiency in GPU shaders for optimization and parallelization.

6. Familiarity with deep learning frameworks such as TensorFlow or PyTorch.

7. Good understanding of computer vision, image processing, and machine learning.

8. Ability to work in a fast-paced, dynamic startup environment.

9. Ability to pass national security and background checks.

Preferred:

1. Experience with visual navigation or similar technologies.

2. Knowledge of drones and autonomous vehicle systems.

3. Familiarity with Git and Agile software development methodologies.

We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within a few days of applying. 

If you are passionate about visual navigation and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, remote work and opportunities for growth within our company.

If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.

To be considered for this role, please complete this brief application form. 

Description: Skyline Nav AI, Inc. is a well-funded, commercially successful scale-up focused on revolutionizing visual navigation technology as an alternative to GPS, for our commercial and military customers. We are seeking highly motivated and hungry recent graduates (Bachelor's/Master's/PhD's) who are passionate about computer vision, robotics and AI to join our team.

As a R&D Engineer, you will be responsible for developing and productionizing computer vision algorithms and machine learning models to help our technology achieve high-accuracy visual navigation. This includes developing new algorithms, as well as optimizing existing methods for real-time use on edge-devices.

Requirements:

1. Candidate must be a US citizen, eligible for US Department of Defense Security Clearance

2. B.S./M.S./Ph.D. degree in Computer Science, Electrical Engineering or related field

3. Strong programming skills in Python and C++

4. Proficient working with computer vision and machine learning concepts

5. Ability to work in fast-paced dynamic startup environment

Preferred:

- Experience with visual navigation or similar technologies

- Knowledge of drones and autonomous vehicle systems

We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within a few days of applying. 

If you are passionate about visual navigation and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, remote work and opportunities for growth within our company.

If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.

To be considered for this role, please complete this brief application form. 

AI Research Scientist

About Visceral
Visceral, newly empowered by our seed round, is reinventing market research. Our AI-native platform automates and orchestrates the process of getting new, proprietary market data with surveys and related research instruments. Led by the former Chief Strategy Officer of Capital One and a co-founder who took a leading consumer product company from inception to IPO, our team is redefining how global markets are understood. We’re seeking an AI Research Scientist to push the boundaries of machine learning and shape a platform that transforms decision-making.

• Advance AI Innovation: Develop novel machine learning models to process proprietary survey data and secondary sources, delivering predictive and actionable market insights.
• Optimize Data Pipelines: Design and implement scalable AI systems for automated surveys, interviews, and analytics, ensuring robustness and efficiency at scale.
• Collaborate with Experts: Work with engineers and industry leaders in a high-intensity, remote environment to integrate AI solutions into a market-leading platform.
• Redefine Research Paradigms: Build AI that reshapes how economies are analyzed, demanding relentless commitment to groundbreaking impact.

What You Bring

• Unrelenting Ambition: Total dedication to advancing AI for unique, high-stakes insights—no work-life balance expected in this mission-driven role.
• Technical Excellence: Deep expertise in machine learning, proficiency in Python and frameworks like TensorFlow or PyTorch, and experience with large-scale data processing; familiarity with TypeScript a plus.
• Contrarian Mindset: Ability to challenge conventional AI approaches and devise first-principles solutions that redefine research capabilities.
• Self-Direction: In this role, you will set and drive Visceral’s research agenda.

Requirements

• Ph.D. in AI/ML-related field, 5-10 years industry experience in AI/ML, or equivalent competency
• Strong mathematical foundation in AI/ML, including proficiency in areas such as linear algebra, calculus, probability, statistics, and optimization, with the ability to apply these concepts to design and analyze machine learning algorithms (e.g., deriving loss functions, optimizing neural networks, or modeling uncertainty).
• Demonstrated ability to translate mathematical principles into practical AI/ML solutions, evidenced in research publications, open-source contributions, or complex projects.

Compensation
$250-500k (commensurate with experience), with a generous equity package and insurance.

Application Prompt
Tell us: What area of AI/ML research is everyone ignoring? Why is it important?

Send your thoughts to christian@visceral.ai.

C10 Labs is an AI-focused venture studio dedicated to propelling the frontiers of artificial intelligence. Our venture studio model is extending the AI revolution beyond screens to build AI first ventures that will revolutionize healthcare, climate tech, mobility,  energy, and more. We are looking to add the best entrepreneurial and technical minds to our team to provide our proto-ventures with the resources they need to succeed: funds, go to market acceleration, mentorship, and engineering. Our team is passionately committed to building a more intelligent world, join us on our mission!

Position Overview:

We are seeking a part-time AI Fellow to join our team in a part-time capacity. This position is more than a job - it's an opportunity to shape the future of AI, molding our portfolio companies into global leaders in the AI space. This role offers a hands-on opportunity to work on challenging projects, collaborate with experienced researchers and engineers, and contribute to the development of groundbreaking AI solutions. If you value working with the brightest minds in the world in areas like climate tech and health then come join us to shape the future of humanity!

Please find out more here and apply! 

Brace Health is looking to hire a founding engineer to join their team. Brace is on a mission to improve access to allied healthcare by helping providers build world class practices.  Starting in Physical Therapy, Brace Health is digitizing and automating the billing workflows to help SMB practices collect more revenue, as well as drive additional revenue streams.  Brace Health is a seed stage company backed by Bessemer, Eniac, and Underscore VC. The role is in-person in Cambridge. We're looking for exceptional developers who want to solve difficult problems using cutting edge AI technology, and ideally want to be a founder themselves one day / already have been a founder.

Our Graduate programs range from 10-week internships to two-year programs. Put your knowledge and skills to work innovating new products and creatively solving the problems that impact our customers and our business. It’s direct experience that will challenge you, develop you professionally and grow your network.

More information about internships here: https://www.capitalonecareers.com/graduate-programs

-

Website: https://www.bluesarah.ai/

LinkedIn: https://www.linkedin.com/company/blue-sarah-inc/

POC: careers@bluesarah.com

Blue Sarah is hiring! Do you want to work in a fast-paced, high-growth tech company working

with some of the biggest brands in fashion and footwear? Are you a Data Scientist looking to

get in on the ground floor of an AI strategy?

About Us: Blue Sarah is an ai-powered co-pilot on its way to being an agent. Our goal is to reinvent the

modern shopping experience. We are starting by aggregating and analyzing third-party consumer

reviews, which we then offer to brands and retailers, so they can learn what consumers are thinking about

their products in real time. Our aim is to decrease consumer returns and to increase speed-to-market on

new product development. We are looking for talented, collaborative, self-starters to join our dynamic

team and contribute to designing engaging and intuitive digital products.

Job Title: UX/UI Designer

Location: Remote

Responsibilities Include:

Role Overview: As a UX/UI Designer at Blue Sarah, you will be responsible for creating user-centered

designs for our web and mobile applications. You will collaborate mostly with our CRO and CTO to

produce experience and interface design that is intuitive to use, visually delightful, and interfaces with our

backend to meet user needs and business goals. The ideal candidate has passion for communication

through design, and loves the concept of Blue Sarah.

Key Responsibilities:

● User Research & Analysis:

Attend all customer meetings to conduct user research and gather insights and validate

design decisions. Analyze user needs, behaviors, and pain points to inform design

solutions.

● Design & Prototyping:

Create wireframes, prototypes, and designs for web and mobile applications.

Develop user flows, journey maps, and other design artifacts to communicate design

concepts effectively. An ideal candidate will be able to use Figma, Adobe XD, Sketch and

will be able to code. An ideal candidate will also have experience creating logo design

and marketing materials.

● UI Design:

Design delightful, beautiful, easy to understand, and responsive interfaces for mobile and

desktop applications and website

Work with developers to ensure the accurate implementation of design specifications.

● Collaboration & Communication:

Work closely with our CTO and Product development team to understand project

requirements and constraints.

Present and articulate design decisions, rationale, and trade-offs to team members and

other stakeholders.

● Continuous Improvement:

Run usability testing to iterate on designs based on user feedback and analytics to

enhance user satisfaction and engagement.

Stay up-to-date with industry trends, tools, and best practices to continuously improve

design processes and outcomes.

Qualifications:

● Education & Experience:

○ 5+ years of experience in UX/UI design, preferably in a digital product

environment.

● Skills:

○ Proficiency in design tools such as Adobe Creative Suite, Sketch, Figma,

○ Strong understanding of user-centered design principles and methodologies.

○ Experience with responsive design and mobile-first design strategies.

○ Familiarity with HTML, CSS, and JavaScript.

● Soft Skills:

○ Strong entrepreneurial spirit.

○ Excellent problem-solving skills and attention to detail.

○ Strong communication and presentation skills.

○ Ability to work collaboratively in a fast-paced environment.

○ Passion for our business and creating exceptional user experiences with an eye

for clean and impressive visual design.

Competitive compensation and benefits package, including healthcare and generous

vacation package.

Website: https://www.bluesarah.ai/

LinkedIn: https://www.linkedin.com/company/blue-sarah-inc/

POC: careers@bluesarah.com

Blue Sarah is hiring! Do you want to work in a fast-paced, high-growth tech company working

with some of the biggest brands in fashion and footwear? Are you a Data Scientist looking to

get in on the ground floor of an AI strategy?

About Us: Blue Sarah is an ai-powered co-pilot on its way to being an agent. Our goal is to reinvent the

modern shopping experience. We are starting by aggregating and analyzing third-party consumer

reviews, which we then offer to brands and retailers, so they can learn what consumers are thinking about

their products in real time. Our aim is to decrease consumer returns and to increase speed-to-market on

new product development. We are looking for talented, collaborative, self-starters to join our dynamic

team and contribute to designing engaging and intuitive digital products.

Job Title: Full Stack/Front End Engineer

Location: Remote

Responsibilities include:

· Developing and implementing software applications

· Developing software components and unit tests

· Implementing new features into ever-evolving applications based on business

requirements

· Collaborating with a team of developers and product managers

· Developing and maintaining quality software product code

· Troubleshooting, debugging and upgrading software

· Building scalable software solutions

· Assisting in enhancing existing software components and adding new features

· Writing technical documentation

· Providing technical leadership for the team

Skills:

· Entrepreneurial Mindset.

· Front-end Knowledge: Expertise in front-end technologies such as JavaScript, CSS3, and

HTML5, as well as third-party libraries such as React Js, Angular, jQuery, and LESS.

· Back-end Knowledge: Facility with server-side programming languages such as Ruby,

Python, Java, and Net.

· Database and Caching Knowledge: Knowledge of DBMS technologies such as

SQLServer, Oracle, MongoDB, and MySQL, as well as caching methods such as Redis,

Memcached, and Varnish.

· Design Knowledge: Basic design abilities include UI/UX expertise and basic prototype

design.

· Server Knowledge: Experience working with Nginx or Apache servers, as well as a strong

knowledge of Linux.

· Experience as a full-stack developer.

· Experience deploying to AWS and automating tasks with AWS, Jenkins, and Docker.

· Comfortable testing your work with tools such as selenium.

· Experience with deployment pipelines and monitoring.

Competitive compensation and benefits package, including healthcare and generous

vacation package.

Website: https://www.bluesarah.ai/

LinkedIn: https://www.linkedin.com/company/blue-sarah-inc/

POC: careers@bluesarah.com

Blue Sarah is hiring! Do you want to work in a fast-paced, high-growth tech company working

with some of the biggest brands in fashion and footwear? Are you a Data Scientist looking to

get in on the ground floor of an AI strategy?

About Us: Blue Sarah is an ai-powered co-pilot on its way to being an agent. Our goal is to reinvent the

modern shopping experience. We are starting by aggregating and analyzing third-party consumer

reviews, which we then offer to brands and retailers, so they can learn what consumers are thinking about

their products in real time. Our aim is to decrease consumer returns and to increase speed-to-market on

new product development. We are looking for talented, collaborative, self-starters to join our dynamic

team and contribute to designing engaging and intuitive digital products.

Job Title: Senior Data Scientist

Location: Remote

Responsibilities include:

· Data mining or extracting usable data from valuable data sources

· Using machine learning tools to select features, create and optimize classifiers

· Carrying out preprocessing of structured and unstructured data

· Enhancing data collection procedures to include all relevant information for developing

analytic systems

· Processing, cleansing, and validating the integrity of data to be used for analysis

· Analyzing large amounts of information to find patterns and solutions

· Developing prediction systems and machine learning algorithms

· Presenting results in a clear manner

· Proposing solutions and strategies to tackle business challenges

· Collaborating with Blue Sarah’s Business and IT teams

Skills:

· Entrepreneurial Mindset.

· Programming Skills – knowledge of statistical programming languages like Python, and

database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java,

or C++ helpful.

· Statistics – Good applied statistical skills, including knowledge of statistical tests,

distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics

required.

· Machine Learning – good knowledge of machine learning methods like k-Nearest

Neighbors, Naive Bayes, SVM, Decision Forests.

· Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the

fundamentals of Multivariable Calculus and Linear Algebra are important, as they form

the basis of many predictive performance or algorithm optimization techniques.

· Data Wrangling – proficiency in handling imperfections in data.

· Experience with Data Visualization Tools like matplotlib, ggplot, d3.js, plotly, any tableau

which help to visually encode data

· Excellent Communication Skills – must be able to communicate findings and

recommendations to both technical and non-technical audiences.

· Strong Software Engineering Background

· Hands-on experience with data science tools

· Problem-solving aptitude

· Analytical mind and great business sense

· Degree in Computer Science, Engineering or relevant field is preferred

· Proven Experience as Data Analyst or Data Scientist

Competitive compensation and benefits package, including healthcare and generous

vacation package.

Job Title: Vice President of Engineering

Location: Remote, Anywhere in the US

Summary:  You are a strong software leader and architect with hands on development capabilities driven by bringing ideas-vision-strategy to life. In your mind, there's no task or feature that's impossible, and you always find a way to deliver on the company's technical vision.  You speak Front End, Back End, UI/UX, and everything in between. You stay in tune with AI/ML and data science advancements and are eager to lean in and learn. You are an expert level software architecture and engineer and are excited to roll up your sleeves when needed. You understand the necessity of being lean, especially in the early days, so you're always keeping an eye out for ways to keep things more cost-effective without sacrificing quality. You've got the software development lifecycle experience to help build a highly effective software engineering capability that delivers the undeniable value that we aim to provide. Lastly, the teams you manage truly enjoy working for you because you understand that leadership has nothing to do with a title. If you're ready to build a platform that will make a noticeable impact in people's lives rather than just giving lip service to "making a difference", see the details below, apply, and let’s talk! 

At Narratize, you will oversee the entire technology lifecycle, aligning the technology strategy with the business goals and vision, and helping us deliver a first in its class AI platform for innovations. Your expertise will be instrumental in driving the growth of Narratize and the future of AI-driven innovation.

In this role you will:

• Develop and implement a comprehensive software and systems architecture to support the company's goals and objectives.
• Drive innovation in the application of generative AI platforms, including NLP, industry and domain-specific models, and workflows tailored to the unique needs of our clients.
• Oversee the development and maintenance of software engineering systems to support data analysis, modeling activities, and AI development.
• Closely collaborate with organization leadership to align engineering systems, features, and capabilities to both the product and technology strategies: ensuring seamless integration of cutting-edge technology into product development and innovation processes.
• Collaborate with cross-functional teams to identify opportunities for leveraging technology to drive business value and inform decision-making.
• Engage directly in software development activities and other activities needed to implement the technology strategy and architecture.   
• Build, lead and mentor a team of software engineers over time, fostering a culture of excellence, innovation, and ownership in alignment with Narratize’s values. 
• Stay abreast of the latest trends and advancements in software engineering and building solutions on AI and gen AI platforms, identifying opportunities for applying emerging technologies to ensure our platform delivers value and remains at the forefront of innovation.
• Communicate key insights and technological advancements to stakeholders across the organization to drive date-driven decision-making.
• Ensure compliance with relevant data privacy and security regulations, implementing best practices for data governance and technology management in AI-driven content generation.

What We’re Looking For

• Significant experience ( 7+ years) in software architecture and personally building digital products from early-stage through to scaling and maturity, displaying proactive leadership and problem-solving skills. 
• Deep knowledge of full-stack modern development practices (ex: DevOps, APIs) and practical application of knowledge in product development.
• Ability to think strategically, holistically, and architecturally about how generative AI and predictive analytics can be used to drive business value, with relentless focus on the end customer and how we are solving their problems.
• Possesses strong business acumen, capable of making decisions that align with the broader business context and requirements. 
• Comfortable collaborating, debating, and committing to decisions with colleagues and leadership.
• Strong communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.

What We’d Also Love to Find 

• Expertise in machine learning, statistical analysis, and data mining techniques, with hands-on experience building, training, fine-tuning, and deploying predictive models, including transformer-based LLMs.
• Proficiency in Python and experience with data manipulation and analysis libraries such as scikit-learn, PyTorch, or TensorFlow.
• Experience working with large and complex datasets, and knowledge of data management.

Requirements

• Bachelor’s Degree in a quantitative field such as computer science, engineering, or related field.
• Minimum of two years managing, mentoring, and inspiring engineering teams. 
• Previous oversight of department budget, with clear objectives, results, and aligned budget and project progress.

Benefits include: 

• Equity
• Medical, Dental, and Vision coverage offered
• Flexible schedule / remote work
• Family-friendly policies 
• Open paid time off
• Paid parental leave

‍

About Narratize: Narratize combines the power of storytelling with cutting-edge generative AI technology to ensure that no great idea is left untold. From optimizing R&D processes to scaling product launch, Narratize empowers brands with transformative ideas to unleash their full potential. 

Why Narratize: At Narratize, you will be part of a forward-thinking team at the intersection of AI and creativity. As the CTO, you will be joining a collaborative and driven leadership team, who expects strong results, and respects that we all have diverse needs and dimensions - in and out of work. We believe that as people, we are a culmination of our experiences, that because of our experiences we all have stories. They are what build into our identities--who we are, who we become, and how we make a difference.

We offer a collaborative and stimulating work environment where your ideas and expertise will be valued. Join us in revolutionizing the way innovators leverage AI to shape the future of content generation and storytelling.

If you are passionate about startups, technology, AI innovation, and pushing the boundaries of what's possible, we encourage you to apply and be a driving force behind Narratize's mission.

About Metaphysic

Metaphysic is the industry leader in developing AI technologies and machine learning research to create photorealistic content at internet scale. We were recently named TIME100 Most Influential Companies for 2023 and are focused on the ethical development of AI to support the genius of human performance. We're run by experienced founders and backed by some of the top investors in the world. We’re only just getting started in defining the next generation of content creation. Join our fast growing team and help bring our groundbreaking vision to life.

Job Description:

As a Machine Learning Research Scientist at Metaphysic, you will be instrumental in advancing the boundaries of AI-driven content creation while upholding our unwavering commitment to ethical AI practices, particularly in the domain of Hyperrealistic Content Generation.

Location: EMEA/NORAM (Remote)

Key Responsibilities:

• Cutting-Edge Research: Lead innovative research initiatives in the field of artificial intelligence, with a focus on advancing AI applications in Hyperrealistic Content Generation, including but not limited to body swaps, face swaps, and deepfakes.
• Model Development: Drive the development of state-of-the-art deep learning models for Hyperrealistic Content Generation, harnessing the power of PyTorch and other relevant tools.
• Publication and Collaboration: Contribute to the scientific community through publication in renowned conferences and journals. Collaborate closely with cross-functional teams to integrate AI technologies into various applications, such as virtual and augmented reality.
• Coding Excellence: Demonstrate your coding prowess by creating clean, efficient, and well-documented code for implementing and optimizing machine learning models. Leverage Python and data science libraries to achieve exceptional results.
• Model Evaluation: Rigorously evaluate model performance, fine-tune algorithms, and ensure the robustness and efficiency of AI applications in real-world scenarios.

Qualifications:

• Educational Background: Hold a Ph.D. or equivalent in a relevant field such as Computer Science, Machine Learning, or Data Science, accompanied by a strong research foundation.
• Fundamental Knowledge: Demonstrate a profound grasp of the fundamentals and the latest developments in relevant areas of machine learning, deeplearning, and generative AI.
• Extensive Experience: Possess over 5 years of hands-on experience in ML research and ML systems. Experience with Generative AI techniques, such as GANs, Auto Encoders, Transformers, and Diffusion Models for Image or video Generation.
• Deep Learning Mastery: Exhibit profound expertise in deep learning, encompassing a comprehensive understanding of neural network architectures, optimization techniques, and advanced training methodologies, including clip-stable diffusion models, and their role in advancing the field of Hyperrealistic Content Generation.
• Coding Proficiency: Demonstrate proficiency in Python. Possess familiarity with key data science libraries (NumPy, Matplotlib, Scikit-learn, Pandas, PyTorch or Tensorflow).
• Research Experience: Be well-versed in the field of Data Centric AI and data augmentation techniques, particularly in the time series domain.
• Innovation Enthusiasm: Display a passion for pushing the boundaries of technology, applying research to real-world scenarios, and driving creative AI solutions in Hyperrealistic Content Generation.
• Collaborative Spirit: Thrive in a multidisciplinary team environment, collaborating effectively with engineers, researchers, and developers.
• Model Interpretability: Familiarity with model interpretability techniques and tools to explain model predictions and ensure transparency.

As part of our team, you’ll enjoy:

• The hustle of a startup with the impact of a global business.
• Tremendous opportunity to join one of the best and fastest growing AI companies in the world.
• Working with an extraordinary team of smart, creative, fun and highly motivated people.
• You will be joining a fantastic culture & a team, all highly supportive, collaborative, transparent and are all very passionate about our tech and mission.
• Flexible working hours, including remote working - this role is solely remote :)

Metaphysic is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Machine Learning Engineer (Toronto / Remote)

About Agnostiq

Agnostiq is a Toronto based startup developing software with a mission to democratize access to the world’s most advanced computing resources. Agnostiq is the team behind Covalent, an open source distributed computing platform built for AI and HPC. 

Your Role 

As a Machine Learning Engineer specializing in Large Language Models (LLMs) at Agnostiq, you will play a pivotal role in developing and enhancing our AI-driven solutions. With a strong emphasis on LLMs, you will focus on the training and tuning of these models to achieve unprecedented levels of performance and efficiency. This position requires a deep understanding of machine learning principles, particularly in the context of natural language processing and generation. Due to our startup nature, the candidate must be comfortable initiating and taking on new projects independently and with limited supervision.

Key responsibilities

Required Technical & Professional Expertise

Nice-to-haves:

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue delivering our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Participation in the program requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One’s hybrid working model.

This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-timeApplied Researchrole, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.

Team Description:

The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business.
 

In this role, you will:

• Join Capital One for a full-time, 12 week, summer applied research experience, discovering solutions to real world, large-scale problems.

• Engage in high impact applied research with the goal of taking the latest AI developments and pushing them into the next generation of customer experiences, or contributing to publications in this field.

• Partner with a cross-functional team of applied researchers, data scientists, software engineers, machine learning engineers and product managers to test and design AI- powered products that change how customers interact with their money.

• Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.

• Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

• Partner with leading researchers to publish papers at top academic conferences.

• Develop Professionally through networking sessions, technical deep dives and executive speaker sessions from across Capital One. 

The Ideal Candidate:

• You love the process of analyzing and creating, but also share our passion to do the right thing. You want to work on problems that will help change banking for good. 

• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.

• Technical. You possess a strong foundation in mathematics, deep learning theory, and the engineering required for contributing to the development of AI.

• Determined. Strengthen your field of study by applying theory to practice. Bring your ideas to life in industry. 

Basic Qualifications:

• Currently enrolled in an accredited PhD Program 
• Completed 2nd year of PhD coursework by program start date

Preferred Qualifications:

• Completed 3rd or 4th year of PhD Program
• PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
• Programming experience in Python, PyTorch, C++, and other deep learning frameworks
• Publications in leading conferences such as KDD, ICML, NeurIPs, ICLR, ACL, NAACL and EMNLP, or ICLR 
• Focused area of researchin one of the following areas:
  • LLM Pre-training
    • PhD focus on Natural Language Processing 
    • Publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
    • Publications in deep learning theory 
  • LLM Finetuning
    • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) 
    • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance
  • Behavioral Models
    • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)
    • Contributions to common open source frameworks (pytorch-geometric, DGL) 
    • Proposed new methods for inference or representation learning on graphs or sequences 
  • Optimization (Training & Inference)
    • PhD focused on topics related to optimizing training of very large deep learning models 
    • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression 
    • Deep knowledge of deep learning algorithmic and/or optimizer design 
  • Large Scale Data Preparation
    • Publications studying tokenization, data quality, dataset curation, or labeling

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City: 

$250,000 - $250,000 for Applied Research Intern

San Francisco, California: 

$264,800 - $264,800 for Applied Research Intern

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Interested in early stage startups and in revolutionizing the fashion industry with technology? Arête is looking for a Computer Vision (CV) Intern! Arête is launching a basic version of the product in the app store in early January, has 25 brand partners, a core team of 8, and an expansive waitlist. We are early stage but building quickly!

What is Arête?

Arête's vision is to not only empower authenticity and inspire confidence through tech-enabled fashion but to entirely revolutionize the user experience in the fashion e-commerce sector. By harnessing the power of AI, we are designing a hyper-personalized virtual stylist and connecting small to medium-sized designers with the shoppers most excited about their products. 

We do this by catering to the unique needs of each individual user and curating outfits based on a user's location, occasion, emotion, and budget. Our AI model learns a user's body shape, complexion, and stylistic preferences, enabling it to curate the perfect outfits using (i) the clothing in a users' closet and (ii) net new items available for purchase on our platform.

But what's a revolution without disrupting the old order? We recognize that the current marketing channels in fashion are skewed. It's a pay-to-play game where only the brands with the deepest pockets get noticed. This leaves a multitude of undiscovered treasures from small to medium-sized fashion brands. By partnering with these brands, we're not only diversifying our collection but ensuring that users have access to hidden gems that resonate with their style.

What we're looking for

We are looking to bring a Computer Vision (CV) Intern to be part of our founding team. This individual should be pursuing a graduate degree in computer science, computer engineering, or a related field, with an expertise in Computer Vision. The CV Intern will work closely with our developers to train state of the art models and begin integrating CV into Arête. The CV Lead will oversee the development of an outfit generation system and the automation of the tagging and pairing of outfits based on their images. You will be working closely with our in-house stylists to digest the data we have pretagged and begin training the model. This role will be essential to bringing Arête into the next stage of development and scaling from beta to a full fledged product.

The ideal candidate will be interested in the long term vision of the company, can iterate quickly, is scrappy, and excited to test the limits of CV. The ideal candidate has the opportunity to grow into a leadership role at the Company post internship and would then help to lead the development of a revolutionary technology use case in e-commerce.

Interview Process

·  Meeting with the founder

·  Interview/tech review with AI advisor and CV advisor

·  Reference checks

Qualifications

·  Knowledge of full-stack engineering

·  Experience working with or building mobile apps

·  Programming knowledge that includes Python

·  Experience working with ML frameworks like Tensorflow, Keras, and PyTorch

·  Experience optimizing and fine-tuning models for better performance and accuracy

·  Ideally has experience managing databases

·  Shares a passion for the company’s mission to empower people to express themselves through fashion

·  Fast learning, communicative, scrappy, and works well with others

How to Apply

Does this role sound like a good fit? Email us at careers@areteforyou.com and cc kotryna@areteforyou.com.

·  Include the role's title in your subject line.

·  Send an attachment of your resume/CV that includes a link to your GitHub.

Capital One’s Summer 2024 Applied Research PhD Internship Program

Students interested in the Summer 2024 Applied Research PhD Internship Program can apply here.

This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-timeApplied Researchrole, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.

Team Description:

The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business.
 

In this role, you will:

• Join Capital One for a full-time, 12 week, summer applied research experience, discovering solutions to real world, large-scale problems.

• Engage in high impact applied research with the goal of taking the latest AI developments and pushing them into the next generation of customer experiences, or contributing to publications in this field.

• Partner with a cross-functional team of applied researchers, data scientists, software engineers, machine learning engineers and product managers to test and design AI- powered products that change how customers interact with their money.

• Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.

• Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

• Partner with leading researchers to publish papers at top academic conferences.

• Develop Professionally through networking sessions, technical deep dives and executive speaker sessions from across Capital One. 

The Ideal Candidate:

• You love the process of analyzing and creating, but also share our passion to do the right thing. You want to work on problems that will help change banking for good. 

• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.

• Technical. You possess a strong foundation in mathematics, deep learning theory, and the engineering required for contributing to the development of AI.

• Determined. Strengthen your field of study by applying theory to practice. Bring your ideas to life in industry. 

Basic Qualifications:

• Currently enrolled in an accredited PhD Program 
• Completed 2nd year of PhD coursework by program start date

Preferred Qualifications:

• Completed 3rd or 4th year of PhD Program
• PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
• Programming experience in Python, PyTorch, C++, and other deep learning frameworks
• Publications in leading conferences such as KDD, ICML, NeurIPs, ICLR, ACL, NAACL and EMNLP, or ICLR 
• Focused area of researchin one of the following areas:
  • LLM Pre-training
    • PhD focus on Natural Language Processing 
    • Publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
    • Publications in deep learning theory 
  • LLM Finetuning
    • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) 
    • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance
  • Behavioral Models
    • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)
    • Contributions to common open source frameworks (pytorch-geometric, DGL) 
    • Proposed new methods for inference or representation learning on graphs or sequences 
  • Optimization (Training & Inference)
    • PhD focused on topics related to optimizing training of very large deep learning models 
    • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression 
    • Deep knowledge of deep learning algorithmic and/or optimizer design 
  • Large Scale Data Preparation
    • Publications studying tokenization, data quality, dataset curation, or labeling

We are seeking a highly skilled and innovative Data Scientist to join our dynamic Product Team at Narratize. As our first dedicated Data Scientist hire, you will play a pivotal role in advancing our generative AI technology. You will lead our data science efforts, working closely with a talented cross-functional team to enhance and develop novel AI solutions for content generation. Your expertise will be instrumental in shaping the future of AI-driven creativity and innovation.

Key Responsibilities:

• Develop pragmatic ways of integrating, mining and visualizing diverse, high dimensional and poorly curated data sets.
•  Develop and implement state-of-the art algorithms and methodologies for generative content creation.
•  Oversee data collection, processing, and annotation efforts to enhance our training datasets.
•  Evaluate and select appropriate tools and technologies to support data science initiatives.
• Stay up-to-date with the latest advancements in AI and data science, ensuring that our technology remains at the forefront of innovation.
•  Collaborate closely with cross functional teams to define and refine our data strategy and AI solutions that align with Narratize’s strategic goals.
•  Participate in thought leadership activities, such as publishing research papers and presenting at conferences.
• Leadership in modeling, technology, technical product development / design, and technical product ownership.

• Potential Growth Trajectories
  • Build, lead and mentor a team of data scientists and researchers, fostering a culture of excellence and innovation. 
  • Conduct advanced research in natural language processing (NLP), machine learning, and deep learning to drive AI solution improvements.

Qualifications:

•  Expertise in NLP, machine learning, and deep learning techniques.
•  Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar.
•  Strong problem solving skills and a track record of delivering innovative solutions.
•  Prior experience in the development of AI driven applications is a plus.
• Technical skills, collaboration abilities, an entrepreneurial spirit, a drive for results, and adaptability across a wide group of stakeholders are core competencies essential to success in this role.   

About Narratize: Narratize combines the power of storytelling with cutting-edge generative AI technology to ensure that no great idea is left untold. From optimizing research & development processes to scaling product launch, Narratize empowers brands with transformative ideas to unleash their full potential.

Why Narratize: At Narratize, you will be part of a forward thinking team at the intersection of AI and creativity. We offer a collaborative and stimulating work environment where your ideas and expertise will be valued. Join us in revolutionizing the way innovators leverage AI to shape the future of content generation and storytelling.

If you are passionate about data science, AI innovation, and pushing the boundaries of what's possible, we encourage you to apply and be a driving force behind Narratize's mission.