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.

Software Engineering Intern

About getIntro
________________

We’re an early-stage startup revolutionizing the way software is sold to healthcare institutions. We help sales teams scale warm introductions to decision-makers through trusted networks. Our AI agents tap into relationship data and industry-specific sales signals (starting in healthcare) to identify and engage the most promising leads. The result: less wasted effort, more wins, more revenue.

Our team consists of veteran founders (and an MIT alum) who have built successful healthtech businesses and delivered AI products at scale, leading to meaningful exits of their previous companies.

This is an opportunity to join the tight-knit founding team that has done this before, successfully. Join us to build in person in Boston.

About You
________________

* You are energized by early-stage startups and the chaos that surrounds them
* You love solving hard problems and love to experiment
* You have interest in search and recommendations
* You are familiar with various graph search algorithms
* You think think creatively to find simpler solutions to hard problems
* You take ownership and get things done without much handholding
* You believe excellent design is a critical piece of great products
* You are fearless and jump in to help wherever needed

About the Role (you don’t need all of these)
________________

* Summer intern who can also continue part-time into the Fall and beyond
* Designing large graph database structures
* Shaping how we model and store relationship data for fast, intuitive exploration
* Building high-quality semantic search
* Creating predictive analytics from web/scraped data
* Identifying meaningful signals and patterns in data
* Managing large data sets
* Delivering commercial/production quality code

How to Apply
________________

* Please send your resume and a short note describing one project you’ve worked on involving graph-based semantic search or predictive analytics to jobs@getintro.com

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.

Software Engineer

Description:

GIGAMATIC is a secure cloud-based platform that provides gig-economy workers, contractors, small-business owners, and full-time employees access to tools and services to help them with their financial and health care needs. A decentralized economy built on the Blockchain with AI.

Your key responsibilities:

• Help shape the approach, scope, milestones, and solution design at the project start.
• Write manageable code and unit tests and create relevant documentation.
• Determine risk assessments for issues.
• Front-end development using React, including integrating front end implementations with the product’s APIs and GraphQL.
• Back-end development using Node.js, MongoDB, PostgreSQL and GraphQL.
• Understanding of EVM smart contract development using Solidity and other blockchain tools and software is a strong asset.
• Completing code reviews of other team members code and assisting in the mentoring of other developers.
• Completing research with respect to the implementation of new product features and refactoring of existing features.
• Support QA testing activities throughout the sprint.
• Remain acutely aware of all priorities, deadlines, and backlogs to positively coach and assist the team in completing the required project tasks.
• Understand the functionality being developed to provide support to the team.
• Provide support, coaching and feedback to the junior staff (Including in-depth in-person code reviews, pair-programming and collaborative problem analysis).
• Participate in monthly Technology meetings to help guide corporate technical processes, architecture, and strategy.
• Draft technical documentation as per project requirements
• Help define corporate standard processes and procedures
• Identify and escalate priority issues per issue specifications
• Redirect and report problems to appropriate team members

To qualify for the role you must have:

• A Github profile or samples of your code made available for review – please highlight and include this in your resume as you will not qualify for this role unless it is listed
• You have 5+ years’ experience working on production applications across the full stack, in either a start-up, or product development environment, and that experience includes:
  • Usage of modern Javascript frameworks, preferably with React but experience with other frameworks such as VueJS or Angular would be acceptable.
  • Experience working on the backend for production applications (ideally in Node.js but other backend technologies such as Java, Rails, PHP are acceptable, provided you are confident you can get up to speed with a Node.js backend within a short time frame).
  • Significant experience working with NoSQL and SQL databases which might include direct experience with MongoDB, Neo4j, PostgreSQL, MySQL and GraphQL.
  • Test Driven or Behaviour Driven testing to validate your code using modern testing tools such as mocha/jest and cypress preferably using a CI/CD pipeline
  • Experience working with Docker and/or Kubernetes as well as deployment knowledge to recognized cloud providers such as Azure, AWS, GCE.
• You are self-driven and able to work independently and with little direction, with the ability to reach out to teammates and other technology specialists when required.
• You know how to work effectively in a remote environment.
• Bachelor's degree, Post-secondary Diploma or Certification or equivalent work experience.

Current projects they might be working on: 

• Creating a proof of concept for a personalized chatbot using GPT-3

• Reducing the training time for our Stable Diffusion model deployment

• Working with our backend engineers to expose Stable Diffusion fine-tune training and inference via the Vana API

Future roadmap/vision: 

At Vana, users come to create, share, monitor, and manage AI models trained on their Digital Self. Identity has taken on new meaning in the fast paced world of Generative AI. Vana is the entry point for Users to explore what their AI likeness is capable of, as everything from video games to social media to business becomes transformed and personalized to a degree we’ve never seen. Our AI needs to be cutting edge, and our Users need to know that we have their back every step of the way. 

You Will: (Responsibilities)

• Create proofs of concept for different product ideas enabled by Generative AI technology

• Investigate emergent generative AI technologies for inclusion in the Platform

• Build text, image, and video input and output processes to increase the quality and safety of the generative AI algorithms

• Build pipelines to execute deep learning inference and training requests. 

• Benchmark and optimize ML infrastructure for performance and cost.

Minimum Qualifications:

• Bachelor’s Degree in Computer Science or related field

• 4+ years of professional experience in ML/AI.

• Proven ability to ship end-to-end solutions for ambiguous problems using ML with specific emphasis on discovering and prototyping solutions

• GCP, AWS, Azure, or equivalent cloud machine learning platform experience

• Proven ability to deploy ML models to the cloud to rapidly iterate on new features or apps

Preferred Qualifications:

• Previous experience with Generative AI

• Experience with Vertex AI and Google Cloud Platform

• Experience in a startup environment

What we offer
We are building a foundational piece of the user-owned internet and would love for you to be a part of our team. We are a diverse group of driven, smart, and ambitious individuals, constantly challenging each other to grow, learn and iterate faster. We are experts across our fields and experienced entrepreneurs looking to scale our success in something deeply mission-driven.

For more information, see our Vana Hiring FAQ [External]. 

At Vana, we are big on collaboration and supporting each other to learn, grow, and excel in our individual pursuits. In addition to joining the Vana family, the successful candidate will receive: 

• A competitive base salary, plus equity. The salary range for this position is $140,000 - $220,000.

  • Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance.

• A generous benefits package including health insurance, dental, vision & wellness plan

• Flexible work schedule

• Unlimited PTO

What You’ll Do 

Our software engineers are the gurus behind the scenes ensuring all of our programs are easy to use and bug free. Using a keen eye, you’ll develop software and tools in support of many of our high-impact technology platforms such as operating systems, networks, databases and more. While we’re growing in the software business, you’ll still need to see the big picture and watch for hardware compatibility while potentially influencing design. 

Who You’ll Work With 

Our hardworking team members are busy programming magic across the globe on teams such as Engineering, Information Technology, Supply Chain, Customer Experience, Security and Trust, etc. 

You would play a crucial role in driving next-gen software innovations including cloud, mobile, desktop or security spaces. On any of these teams, you'll get hands-on experience working with applications that make technology accessible no matter the device. See the possibilities when creativity meets design and build solutions which will transform how we work, live, learn, and play. 

Who You Are 

Pursuing a PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or related program 

Up-to-date on programming and scripting languages; both front end and back end: C/C++, Python, Java, JavaScript, HTML, and Ruby 

Knowledge of Linux, Networking concepts, OS fundamentals, Embedded Development, and/or ML 

Hands on QA, Testing, and/or Debugging skills 

Experience with Databases, Web Application Development, Web Services, and API Development 

Why Cisco 

#WeAreCisco, where each person is unique, but we bring our talents to work as a team and make a difference powering an inclusive future for all.  

We embrace digital, and help our customers implement change in their digital businesses. Some may think we’re “old” (36 years strong) and only about hardware, but we’re also a software company. And a security company. We even invented an intuitive network that adapts, predicts, learns and protects. No other company can do what we do – you can’t put us in a box! 

But “Digital Transformation” is an empty buzz phrase without a culture that allows for innovation, creativity, and yes, even failure (if you learn from it.) 

Day to day, we focus on the give and take. We give our best, give our egos a break, and give of ourselves (because giving back is built into our DNA.) We take accountability, bold steps, and take difference to heart. Because without diversity of thought and a dedication to equality for all, there is no moving forward. 

So, you have colorful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! 

Message to applicants applying to work in the U.S.:
When available, the salary range posted for this position reflects the projected hiring range for new hire salaries in U.S. locations. For non-sales roles, the hiring ranges reflect base salary and do not include bonuses, equity, or benefits. Hiring ranges for sales positions include base and incentive target, and do not include equity or benefits. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

What You’ll Do 

Our software engineers are the gurus behind the scenes ensuring our all of our programs are easy to use and bug free. Using a keen eye, you’ll develop software and tools in support of many of our high-impact technology platforms such as operating systems, networks, databases and more. While we’re growing in the software business, you’ll still need to see the big picture and watch for hardware compatibility while even potentially influencing design. 

Who You’ll Work With 

Our hardworking team members are busy programming magic across the globe on teams such as Engineering, Information Technology, Supply Chain, Customer Experience, Security and Trust, etc. 

You would play a crucial role in driving next-gen software innovations including cloud, mobile, desktop or security spaces. On any of these teams, you'll get hands-on experience working with applications that make technology accessible no matter what device they’re on. See the possibilities when creativity meets design and build solutions which will transform how we work, live, learn, and play. 

Who You Are 

Including but not limited to an upcoming graduate of a technical degree or certification program from a Technical Boot Camp, Apprenticeship, Community College or 4-Year University. 

Up-to-date on programming and scripting languages: C/C++, Python, Java 

Knowledge of Linux, Networking concepts, OS fundamentals, Embedded Development, and/or ML 

Hands on QA, Testing, and/or Debugging skills 

Experience with Databases, Web Application Development, and Web Services 

Why Cisco 

#WeAreCisco, where each person is unique, but we bring our talents to work as a team and make a difference powering an inclusive future for all.  

We embrace digital, and help our customers implement change in their digital businesses. Some may think we’re “old” (36 years strong) and only about hardware, but we’re also a software company. And a security company. We even invented an intuitive network that adapts, predicts, learns and protects. No other company can do what we do – you can’t put us in a box! 

But “Digital Transformation” is an empty buzz phrase without a culture that allows for innovation, creativity, and yes, even failure (if you learn from it.) 

Day to day, we focus on the give and take. We give our best, give our egos a break, and give of ourselves (because giving back is built into our DNA.) We take accountability, bold steps, and take difference to heart. Because without diversity of thought and a dedication to equality for all, there is no moving forward. 

So, you have colorful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! 

Message to applicants applying to work in the U.S.:
When available, the salary range posted for this position reflects the projected hiring range for new hire salaries in U.S. locations. For non-sales roles, the hiring ranges reflect base salary and do not include bonuses, equity, or benefits. Hiring ranges for sales positions include base and incentive target, and do not include equity or benefits. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

What You’ll Do  

Our software engineers are the gurus behind the scenes ensuring our all of our programs are easy to use and bug free. Using a keen eye, you’ll develop software and tools in support of many of our high-impact technology platforms such as operating systems, networks, databases and more. While we’re

growing in the software business, you’ll still need to see the big picture and watch for hardware compatibility while even potentially influencing design.  

Who You’ll Work With  

Our hardworking team members are busy programming magic across the globe on teams such as Engineering, Information Technology, Supply Chain, Customer Experience, Security and Trust, etc.  

You would play a crucial role in driving next-gen software innovations including cloud, mobile, desktop or security spaces. On any of these teams, you'll get hands-on experience working with applications that make technology accessible no matter what device they’re on. See the possibilities when creativity meets design and build solutions which will transform how we work, live, learn, and play.  

Who You Are  

• Including but not limited to an upcoming graduate of a technical degree or certification program from a Technical Boot Camp, Apprenticeship, Community College or 4-Year University.  
• Up-to-date on programming and scripting languages: C/C++, Python, Java  
• Knowledge of Linux, Networking concepts, OS fundamentals, Embedded Development, and/or ML  
• Hands on QA, Testing, and/or Debugging skills  
• Experience with Databases, Web Application Development, and Web Services  
• Able to legally live and work in the country for which you’re applying, without visa support or sponsorship  

Why Cisco

#WeAreCisco, where each person is unique, but we bring our talents to work as a team and make a difference powering an inclusive future for all.  

We embrace digital, and help our customers implement change in their digital businesses. Some may think we’re “old” (36 years strong) and only about hardware, but we’re also a software company. And a security company. We even invented an intuitive network that adapts, predicts, learns and protects. No other company can do what we do – you can’t put us in a box!  

But “Digital Transformation” is an empty buzz phrase without a culture that allows for innovation, creativity, and yes, even failure (if you learn from it.)  

Day to day, we focus on the give and take. We give our best, give our egos a break, and give of ourselves (because giving back is built into our DNA.) We take accountability, bold steps, and take difference to heart. Because without diversity of thought and a dedication to equality for all, there is no moving forward.  

So, you have colorful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! 

Message to applicants applying to work in the U.S.:
When available, the salary range posted for this position reflects the projected hiring range for new hire salaries in U.S. locations. For non-sales roles, the hiring ranges reflect base salary and do not include bonuses, equity, or benefits. Hiring ranges for sales positions include base and incentive target, and do not include equity or benefits. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

Description:

GIGAMATIC is a secure cloud-based platform that provides gig-economy workers, contractors, small-business owners, and full-time employees access to tools and services to help them with their financial and health care needs. A decentralized economy built on the Blockchain with AI.

Your key responsibilities:

• Help shape the approach, scope, milestones, and solution design at the project start.
• Write manageable code and unit tests and create relevant documentation.
• Determine risk assessments for issues.
• Front-end development using React, including integrating front end implementations with the product’s APIs and GraphQL.
• Back-end development using Node.js, MongoDB, PostgreSQL and GraphQL.
• Understanding of EVM smart contract development using Solidity and other blockchain tools and software is a strong asset.
• Completing code reviews of other team members code and assisting in the mentoring of other developers.
• Completing research with respect to the implementation of new product features and refactoring of existing features.
• Support QA testing activities throughout the sprint.
• Remain acutely aware of all priorities, deadlines, and backlogs to positively coach and assist the team in completing the required project tasks.
• Understand the functionality being developed to provide support to the team.
• Provide support, coaching and feedback to the junior staff (Including in-depth in-person code reviews, pair-programming and collaborative problem analysis).
• Participate in monthly Technology meetings to help guide corporate technical processes, architecture, and strategy.
• Draft technical documentation as per project requirements
• Help define corporate standard processes and procedures
• Identify and escalate priority issues per issue specifications
• Redirect and report problems to appropriate team members

To qualify for the role you must have:

• A Github profile or samples of your code made available for review – please highlight and include this in your resume as you will not qualify for this role unless it is listed
• You have experience working on production applications across the full stack, in either a start-up, or product development environment, and that experience includes:
• Usage of modern Javascript frameworks, preferably with React but experience with other frameworks such as VueJS or Angular would be acceptable.
• Experience working on the backend for production applications (ideally in Node.js but other backend technologies such as Java, Rails, PHP are acceptable, provided you are confident you can get up to speed with a Node.js backend within a short time frame).
• Significant experience working with NoSQL and SQL databases which might include direct experience with MongoDB, Neo4j, PostgreSQL, MySQL and GraphQL.
• Test Driven or Behaviour Driven testing to validate your code using modern testing tools such as mocha/jest and cypress preferably using a CI/CD pipeline
• Experience working with Docker and/or Kubernetes as well as deployment knowledge to recognized cloud providers such as Azure, AWS, GCE.
• You are self-driven and able to work independently and with little direction, with the ability to reach out to teammates and other technology specialists when required.
• You know how to work effectively in a remote environment.

Description:

GIGAMATIC is a secure cloud-based platform that provides gig-economy workers, contractors, small-business owners, and full-time employees access to tools and services to help them with their financial and health care needs. A decentralized economy built on the Blockchain with AI.

Your key responsibilities:

• Help shape the approach, scope, milestones, and solution design at the project start.
• Write manageable code and unit tests and create relevant documentation.
• Determine risk assessments for issues.
• Front-end development using React, including integrating front end implementations with the product’s APIs and GraphQL.
• Back-end development using Node.js, MongoDB, PostgreSQL and GraphQL.
• Understanding of EVM smart contract development using Solidity and other blockchain tools and software is a strong asset.
• Completing code reviews of other team members code and assisting in the mentoring of other developers.
• Completing research with respect to the implementation of new product features and refactoring of existing features.
• Support QA testing activities throughout the sprint.
• Remain acutely aware of all priorities, deadlines, and backlogs to positively coach and assist the team in completing the required project tasks.
• Understand the functionality being developed to provide support to the team.
• Provide support, coaching and feedback to the junior staff (Including in-depth in-person code reviews, pair-programming and collaborative problem analysis).
• Participate in monthly Technology meetings to help guide corporate technical processes, architecture, and strategy.
• Draft technical documentation as per project requirements
• Help define corporate standard processes and procedures
• Identify and escalate priority issues per issue specifications
• Redirect and report problems to appropriate team members

To qualify for the role you must have:

• A Github profile or samples of your code made available for review – please highlight and include this in your resume as you will not qualify for this role unless it is listed
• Experience working on production applications across the full stack, in either a start-up, or product development environment, and that experience includes:
  • Usage of modern Javascript frameworks, preferably with React but experience with other frameworks such as VueJS or Angular would be acceptable.
  • Experience working on the backend for production applications (ideally in Node.js but other backend technologies such as Java, Rails, PHP are acceptable, provided you are confident you can get up to speed with a Node.js backend within a short time frame).
  • Significant experience working with NoSQL and SQL databases which might include direct experience with MongoDB, Neo4j, PostgreSQL, MySQL and GraphQL.
  • Test Driven or Behaviour Driven testing to validate your code using modern testing tools such as mocha/jest and cypress preferably using a CI/CD pipeline
  • Experience working with Docker and/or Kubernetes as well as deployment knowledge to recognized cloud providers such as Azure, AWS, GCE.
• You are self-driven and able to work independently and with little direction, with the ability to reach out to teammates and other technology specialists when required.
• You know how to work effectively in a remote environment.

We at Best Buy work hard every day to enrich the lives of customers through technology, whether they come to us online, visit our stores or invite us into their homes. We do this by solving technology problems and addressing key human needs across a range of areas, including entertainment, productivity, communicating with coworkers and loved ones, preparing nutritious food, providing security for your home and family, and helping you take your health to the next level.
 

This role is intended to be hybrid, which means you must be located within a drivable distance to Boston, Seattle, or Minneapolis Corporate locations.

As a Machine Learning Scientist/Engineer Intern, you’ll have the opportunity to work alongside industry experts researching, developing, and applying cutting-edge machine learning and artificial intelligence algorithms to build innovative technologies, services, and products that solve the company's hardest problems and accelerate Best Buy's core growth.  In this role you will combine your passion for software engineering and ML/AI algorithms to contribute to a team developing and operationalizing ML models and production quality code to unleash next generation of customer experiences and transform the way Best Buy operates day-to-day. 

Join us if you like to:

• Developing Machine Learning solutions and services leveraging state-of-the-art techniques
• Applying software engineering skills to develop and deploy solutions that can scale to millions of requests per second with millisecond latency
• Utilizing broad and deep knowledge of machine learning and software engineering to contribute to the roadmap of Best Buy’s core machine learning capabilities
• Building real products that influence and enhance the lives of millions of people and drive and deliver tens of millions of dollars in impact to Best Buy’s bottom line
• Having fun!

Basic Qualifications:

• Pursuing a master’s or PHD degree graduating between Fall 2023 and Spring 2024 
• Must be able to work out of one of the following HUB locations; Seattle, Boston, or Minneapolis.
• Foundational machine learning and algorithmic background with some understanding of at least one of the following areas: supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, graphical modeling, or nonlinear/stochastic optimization
• Experience with at least one data science/analytics programming language (e.g. Python, R, Julia)
• Foundational software engineering skills and programming experience with one of more programming languages - Python, R, Julia, Scala or Java

Preferred Qualifications:

• Experience using high performance machine learning libraries and/or deep learning frameworks like PyTorch or Tensorflow
• Fluency with Python and SQL
• Experience working over cloud
• Knowledge of functional programming

DESCRIPTION

The Machine Learning Department has openings for researchers with a passion for developing the next generation of machine intelligence. Expertise in machine learning with a proven track record of original research are prerequisites for this position.

The Machine Learning Department has been at the forefront of research in such areas as deep learning, support vector machines, and semantic analysis for almost two decades. The research in our department has been published in premier venues and has won numerous awards, including the 2010 IEEE Neural Networks Pioneer Award, the 2012 IEEE Frank Rosenblatt Award, the 2012 Benjamin Franklin Medal, the 2013 NEC C&C Prize, ICML 2018 Test of Time Award, and NeurIPS 2018 Test of Time Award. A lot of our research has been translated into NEC’s businesses, leading to innovative products and services of NEC, such as semantic analysis of job applications and product reviews, accident prevention, anomaly detection, and digital pathology.

Currently our department is tackling challenges in imparting abstract reasoning capabilities to machine learning and facilitating effective human-machine collaboration, and how these enable new applications in sustainable environment, smart manufacturing, safe cities, natural language processing, and personalized healthcare.
https://www.nec-labs.com/research/machine-learning/home/

POSITION REQUIREMENTS
• PhD in computer science, electrical engineering, statistics, or equivalent
• Research experience in machine learning with strong publication record
• Strong algorithm and numeric computation background
• Programming experience in Python, C/C++, or other languages
• Experience with deep learning libraries and platforms a plus, e.g. PyTorch, TensorFlow

We also have summer/fall internships available: https://www.appone.com/MainInfoReq.asp?R_ID=4955548
 

MediaTek Incorporated (TWSE: 2454) is a global fabless semiconductor company that enables nearly 2 billion connected devices a year. We are a market leader in developing innovative systems-on-chip (SoC) for mobile device, home entertainment, connectivity and IoT products. Our dedication to innovation has positioned us as a driving market force in several key technology areas, including highly power-efficient mobile technologies, automotive solutions and a broad range of advanced multimedia products such as smartphones, tablets, digital televisions, 5G, Voice Assistant Devices (VAD) and wearables. MediaTek empowers and inspires people to expand their horizons and achieve their goals through smart technology, more easily and efficiently than ever before. We work with the brands you love to make great technology accessible to everyone, and it drives everything we do. Visit www.mediatek.com for more information.

Job:

Staff Engineer/Senior Engineer

Location:

US or Taiwan

Job Type:

Full Time

The Opportunity: Top-Notch Talent Program

MediaTek is inviting talents around the world to join our technical breakthrough for the next decade. Through this channel, you are given the opportunity to design your job assignments with your supervisor. Furthermore, with a customized individual development plan for at least two years, it is ensured that you will get your moment to shine sooner than your peers! If you have the ambition to unlock the challenge of the most advanced and innovative technology. Apply now!

As a staff engineer/senior engineer through MediaTek's top-notch hiring program, you are expected to bring innovation to the company. This role is responsible for advanced technology research and development. We provide training, and a co-work buddy to help you adjust and settle in during the beginner period. You will start as a researcher, and brought into tasks and projects with time, and soon, you will start leading to deliver projects that span across one or more business units. You will make proposals based on your expertise and creativity, and it is important that your ideas matched our business focus and core values, and you have the key knowledge and skills to support your ideas to land. You will play a part in helping the company to further excellence. With the resources provided by MediaTek, the world is your oyster.

 
Responsibilities:

• Keep up with latest academic research/breakthrough and share information with the team.
• Analyze technical development in the industry and develop extensive knowledge for interdisciplinary application.
• Propose innovative ideas and provide key skills in leading this proposal to success.
• Define success criteria. Provide status report regarding milestones, estimates/deliverable, risks and issues. 
• Deliver appropriate and effective executive level communication.
• Navigate interdependencies between technology, operations and business needs towards the benefits of project succeeding.
• Motivate all stakeholders and gain support to realize your vision.

Qualifications:

• EE/CS major, or other majors with a transcript showing the record of EE/CS requirements accomplished.
• Fresh PhD with no industry work experience.
• GPA from all degrees are 3.8 above out of 5.0 grading scale.
• Strong research publication record from top journals/conferences.
• Honorable advantages, such as top 3 winner of national contests, winner of Best Student, and etc., or with hold of an identity recognized by academia and industry, such as National Scholar, SRC Scholar, Google Scholar, and etc.
• Proven personal qualities of resilience and grit.

Field:

Architecture, Machine Learning, Deep Learning, Software Engineering, Product and Technology

Application:

Please contact Lana Hsu (lana.hsu@mediatek.com) at MediaTek directly with your resume.

The Trustworthy eXtended Reality (XR) work stream brings together core elements of computational security, network security, and AR/VR competencies to make the extended reality experiences of today and tomorrow more secure, safe, privacy-preserving, and trustworthy. We are seeking a part-time intern (10 hrs/week) to join a growing, highly collaborative, and cross disciplinary team of researchers to work on projects applying cutting-edge cryptographic tools to state-of-the-art computer vision applications offloaded on ultra-fast, low latency networks.

We are seeking an intern with the required core competencies:

·       Proficiency in C++ programming.

·       Understanding of core concepts in cryptography.

·       Basic-to-proficient understanding of computer vision topics.

The following qualifications are desirable (but may not be required):

·       Conference participation, paper submissions, or open-source work demonstrating interest in applied cryptography and/or CV topics.

·       Expertise in computer vision.

·       Programming experience building or using cryptographic libraries or tools.

What can you expect?

·       A highly motivated, diverse group of researchers dedicated to solving critical problems on the frontier of privacy, security, and emerging extended reality technologies.

·       A vibrant community of research practitioners invested in collaborative research and providing constructive feedback for each other’s professional growth.

·       An inclusive workplace that celebrates the beauty of diversity of background, orientation, experience, faith, and thought in our communities. 

Our Exciting Opportunity:

Ericsson Research is looking for highly motivated and hardworking Artificial Intelligence Researchers, bringing AI & Machine Learning to mobile networks.

As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark! When joining our team at Ericsson you are empowered to learn, lead and perform at your best, crafting the future of technology. This is a place where you're encouraged as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team.

Come, and be where it begins.

You will:

Be pushing technology frontiers, combining machine learning and reasoning methods, tools, and techniques to drive intelligent autonomous operations in large complex telecom systems. If you:

• Are well acquainted with the scientific method and publish your results in scientific conferences or journals.
• Wish to apply those skills to tackle real and complex problems with high societal impact.
• And aim to inspire and lead research for the future 6G, IoT and Cloud systems.

To be successful in the role you must have:

• PhD in Computer Science or any related technical field (candidates with equivalent practical work experience will be considered).
• Strong programming skills in Python, Java, or C/C++.
• Experience in applying AI and ML techniques (reinforcement learning, explainable inference, graph-based learning) on large distributed tabular datasets
• Understanding of the AI open-source communities and practical experience with some of them such as scikit-learn, TensorFlow, pytorch, pandas, Spark, ray/gym, etc.
• Ability to scope, follow and execute on a research agenda

Additional qualifications:

• Publication record in AI (including machine learning applied to wireless technologies, distributed AI multi-agent systems) or related fields
• Active participation in open-source communities related to AI
• Experience with telecom industry and standards

At Massive Dynamics, we work on a wide range of problems: consumer sales, supply chain optimization, and pharmaceutical applications. Our capabilities and frameworks have a wide spectrum of applications. We have developed advanced technology and algorithms to uncover complex patterns and relationships, which may be subtle and deeply hidden in the data. Our goal is to help large enterprises with their Big Data challenges. Our team comprises a unique blend of scientists, applied mathematicians, and industry practitioners. We are passionate about what we do and have great colleagues!

We are looking for Data Scientist who is a self-starter and eager to contribute to a team of problem solvers.

Responsibilities

• ETL and data analysis (including scalable and complex techniques)
• Prototype solutions
• Data visualization and generating actionable insights
• API knowledge and web application frameworks are a plus

Qualifications

• PhD in quantitative field
• 1 - 2 years of experience in quantitative data analytics and/or numerical modeling
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in programming languages (Python, C, C++, R, SQL) and object-oriented programming. Deep Knowledge of Python packages is highly desired.
• Knowledge of optimization methods and optimization algorithms is a plus.
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau, PowerBI)

We offer health, dental, vision benefits.

Gentuity is seeking a software engineer with a generalist background in diverse technologies and multidisciplinary projects.

Our Company

Gentuity is an exciting and highly innovative medical technology firm, active in the research and development, clinical translation, and commercialization of vascular imaging devices.  This opportunity provides the candidates the unique chance to work on innovative medical products, with the potential to significantly change the practice of medicine in the care of patients suffering from a wide range of highly debilitating vascular diseases.

Our Team

The advanced development and software team supports numerous activities at Gentuity, from Firmware development to AI/Deep Learning, building technical tools for our scientists and manufacturing teams, image processing algorithms and user interfaces that that helps doctors interpret the state-of-the-art images our technology acquires.  We are a small team with ambitious goals.  We are looking to add an individual who will contribute to all these areas of software development and help us continue to build a solid base for the company’s goals.

Why What We Do Matters

Surgeons will use our devices to acquire images at resolutions that have not been seen before in their fields.  Doctors and scientists with whom we have partnered believe these images will fundamentally alter the understanding and treatment of deadly vascular diseases.  (Y)our work will help them translate anatomical and physiological vascular information into decisions that alter the patients’ course of treatment.

You Must Have

#1 – Strong understanding and experience with:

• Multi-threaded C++
• JavaScript

#2 – Demonstrable experience in at least three of the following:

• Qt/QML Framework / User Interface Development
• Scripting languages: Ruby / Python
• AI / Deep Learning (TensorFlow / similar packages)
• Image Processing algorithms (OpenCV / ITK / etc.)
• Full-stack web-development
• Computational Fluid Dynamics
• AWS / Azure / Cloud solutions
• DICOM / PACS integration
• Cybersecurity

Nice to have

Experience with building embedded software in medical, scientific, and/or analytical devices a plus.

Candidate Profile

Bachelor’s degree or equivalent experience in a technical field (e.g., Computer science, EE, Physics).  3+ years of experience.

Competitive pay, commensurate with experience.  Equal Opportunity Employer.

Best Buy Digital and Technology teams are working in a hybrid work model. Most roles can be predominantly work from home but the person who fills this role will must be within a commutable distance to the Richfield, MN, Seattle, WA, Atlanta, GA, or Boston, MA offices.

We believe that our company’s success depends on the passion and creativity of our amazing employees. To create environments in which our people can fully thrive, we turn to our guiding behaviors: Be human. Make it real. Think about tomorrow. These set the tone for Best Buy, along with our Rallying Cry: Let’s talk about what’s possible. Our supportive leaders collaborate with their teams through ongoing feedback and two-way dialogue to maintain a culture continual learning. All these factors combine to create an unbeatable experience for both customers and employees. If you like to have fun while you work, build confidence and grow your career, you’ll fit right in.

We at Best Buy work hard every day to enrich the lives of customers through technology, whether they come to us online, visit our stores or invite us into their homes. We do this by solving technology problems and addressing key human needs across a range of areas, including entertainment, productivity, communicating with coworkers and loved ones, preparing nutritious food, providing security for your home and family, and helping you take your health to the next level.

As an Associate Director, Applied Machine Learning, you’ll take the lead driving research, development, and applications of cutting-edge machine learning and artificial intelligence algorithms across multiple technical teams to build innovative technologies, services, and products that solve the company's hardest problems and accelerate Best Buy's core growth. In this role you will combine strategic thinking with your leadership skills, strong software engineering expertise and deep knowledge of ML and AI algorithms to lead technical efforts to architect, develop, and operationalize models, algorithms, and production quality codebases, building the core engines that unleash the next generation of customer experiences and transform the way Best Buy operates day-to-day.

Join us if you like:

• Leading the design and development of ML solutions as services
• Managing, mentoring and coaching a team of ML Scientists & Engineers leveraging state-of-the-art machine learning and deep learning techniques such as Transformer models with multi-headed self-attention, Bayesian optimization, and Graph Neural Networks and more!
• Applying software engineering skills to lead development and deployment of solutions that can scale to millions of requests per second with millisecond latency
• Utilizing broad and deep knowledge of machine learning and software engineering to contribute to the roadmap of Best Buy’s core machine learning capabilities
• Having fun!

Minimum Requirements:

• Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related) or equivalent experience
• Prior experience building, deploying, and serving ML models as resilient, elastically scalable cloud native services
• Extensive machine learning and algorithmic background with expert level understanding of at least one of the following areas: supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, graphical modeling, or nonlinear/stochastic optimization
• 8 years of experience building ML and/or AI driven products or other similar related functions (e.g. software engineering, data science, advanced analytics). Advanced degrees in relevant fields may be counted towards experience requirements.
• 3 years of experience managing a team of machine learning scientists and engineers
• Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
• Strong software design and implementation skills with a general-purpose programming language (e.g. Scala, Swift, C++/C#, Java, Haskell, etc)

Preferred Qualifications:

• Master's degree or Ph.D in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related)
• Experience building production grade ML models using one or more Deep Learning frameworks like TensorFlow, Keras, PyTorch, MXNet or ONNX
• Experience with one or more CI/CD, MLOps, DataOps and Orchestration platforms like KubeFlow, Prefect, Apache Airflow, MLFlow, Spark, Luigi, or Argo for end-to-end model building, training, serving and monitoring
• Experience building & deploying ML products over GCP and/or AWS
• Strong functional programming development skills
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
• Open source contributions or GitHub portfolio

Best Buy Digital and Technology teams are working in a hybrid work model. Most roles can be predominantly work from home but the person who fills this role will must be within a commutable distance to the Richfield, MN, Seattle, WA, Atlanta, GA, or Boston, MA offices.

We believe that our company’s success depends on the passion and creativity of our amazing employees. To create environments in which our people can fully thrive, we turn to our guiding behaviors: Be human. Make it real. Think about tomorrow. These set the tone for Best Buy, along with our Rallying Cry: Let’s talk about what’s possible. Our supportive leaders collaborate with their teams through ongoing feedback and two-way dialogue to maintain a culture continual learning. All these factors combine to create an unbeatable experience for both customers and employees. If you like to have fun while you work, build confidence and grow your career, you’ll fit right in.

We at Best Buy work hard every day to enrich the lives of customers through technology, whether they come to us online, visit our stores or invite us into their homes. We do this by solving technology problems and addressing key human needs across a range of areas, including entertainment, productivity, communicating with coworkers and loved ones, preparing nutritious food, providing security for your home and family, and helping you take your health to the next level.

As an Associate Director, Applied Machine Learning, you’ll take the lead driving research, development, and applications of cutting-edge machine learning and artificial intelligence algorithms across multiple technical teams to build innovative technologies, services, and products that solve the company's hardest problems and accelerate Best Buy's core growth. In this role you will combine strategic thinking with your leadership skills, strong software engineering expertise and deep knowledge of ML and AI algorithms to lead technical efforts to architect, develop, and operationalize models, algorithms, and production quality codebases, building the core engines that unleash the next generation of customer experiences and transform the way Best Buy operates day-to-day.

Join us if you like:

• Leading the design and development of ML products & services for personalization and recommendation domains
• Managing, mentoring and coaching a team of ML Scientists & Engineers leveraging state-of-the-art machine learning and deep learning techniques such as Transformer models with multi-headed self-attention, Bayesian optimization, and Graph Neural Networks and more!
• Applying software engineering skills to lead development and deployment of solutions that can scale to millions of requests per second with millisecond latency
• Utilizing broad and deep knowledge of machine learning and software engineering to contribute to the roadmap of Best Buy’s core machine learning capabilities
• Having fun!

Minimum Requirements:

• Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related) or equivalent experience
• Prior experience building, deploying, and serving ML models as resilient, elastically scalable cloud native services
• Extensive machine learning and algorithmic background with expert level understanding of at least one of the following areas: supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, graphical modeling, or nonlinear/stochastic optimization
• 8 years of experience building ML and/or AI driven products or other similar related functions (e.g. software engineering, data science, advanced analytics). Advanced degrees in relevant fields may be counted towards experience requirements.
• 3 years of experience managing a team of machine learning scientists and engineers
• Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
• Strong software design and implementation skills with a general-purpose programming language (e.g. Scala, Swift, C++/C#, Java, Haskell, etc)

Preferred Qualifications:

• Master's degree or Ph.D in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related)
• Experience building production grade ML models using one or more Deep Learning frameworks like TensorFlow, Keras, PyTorch, MXNet or ONNX
• Experience with one or more CI/CD, MLOps, DataOps and Orchestration platforms like KubeFlow, Prefect, Apache Airflow, MLFlow, Spark, Luigi, or Argo for end-to-end model building, training, serving and monitoring
• Experience building & deploying ML products over GCP and/or AWS
• Strong functional programming development skills
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
• Open source contributions or GitHub portfolio

Job Profile Summary

About us

At bp, we’re reimagining energy for people and our planet. With operations working across almost every part of the energy system, we’re leading the way in reducing carbon emissions and developing more sustainable methods for solving the energy challenge.
In innovation & engineering we work with leading edge technologies and big data to help tackle society’s big energy challenges. Choose to join bp and you’ll be on the front line of the energy transition, collaborating with world-class technologists, engineers, and disrupters to reimagine energy and carve out a career packed with purpose, passion, and learning.
 

Role Synopsys

Digital Science and Engineering applies the current edge of digital innovation capabilities to the energy challenge of providing energy to the world while transitioning to a zero carbon future. Digital Science uses the business adoption of new digital technologies as it’s measure of performance. Although relatively small in size, Digital Science is world class in reach, processes, activities, and results. It works with the very highest levels of external organizations and operates within the full context of external digital and business innovation as well as bp strategy.

The Technology Principal is responsible for the identification and application of a range of emerging digital technologies for bp with a particular emphasis on Robotics technologies. The expectations for the impact on bp in terms of economic value are very high due to the increasing importance assigned to digital technologies including robotics at the bp leadership team level. Virtually all of bp’s front-line activities are being digitized and robotics and other digital technologies have been identified as a major source of bp’s productivity and potential for top line improvement. Also, the range, and scope of external digital technology change are increasingly broad in scope and occurring at a faster pace.

This position is part of a team which combines innovation, business development, and relationship management. It is significantly different from traditional digital leadership roles with large portfolios, this role will lead a number of initiatives working with highly technical people engaged in pioneering, innovative activities that are inherently unstructured.

Job Advert

Digital Science (DSci) comprises engineers, technologists, scientists, and entrepreneurs who lead a portfolio of initiatives working with highly technical people engaged in groundbreaking, innovative activities that are complex with many moving parts. A high degree of stature, leadership, influence and soft skills are required to achieve successful adoption of disruptive technologies.
DSci works with the very highest levels of external organizations and operates within the full context of external digital and business innovation. Consequently, the DSci team constantly challenge themselves to be open to new ideas and bring them to fruition within bp.
Honest discussion to understand business context, direction, and challenges as one-team is required to recognize the importance of digital technologies enabling core energy industry technologies. To do this team members build networks inside and outside of bp, building strong relationships based on respect and trust.
All DSci team members show fluidity, speed and initiative in unstructured contexts. In senior roles business development skill are required to create longer-term vision from an unstructured context and apply prudent risk-taking.
 

Responsibilities

• Scan the digital technology horizon to identify emerging digital trends, new products and solutions potentially relevant to bp; assess potential vendors, consultants, and market segments.
• Expert in at least one core aspect of emerging robotics; one or more technology fields, and acts a knowledge transfer agent to a wider community in bp.
• Develop and nurture collaborative external relationships at the CEO or executive level with major vendors, venture capital firms, governments, academic institutions and research firms for long-term collaboration.
• Lead delivery of projects to prove viability or potential value of technologies.
• Work closely with executive management to identify key challenges that can be addressed through new digital technology, and seek to solve problems with the help of the Digital Science ecosystem.
• Promote awareness on emerging robotics and other digital technologies and trends among senior management in bp.
• Provide advice and counsel to senior executives in setting business directions or policies and make a significant contribution to bp entity strategies.

Skills and qualifications

• MBA or advanced robotics related technical degree
• Track record of identifying emergent robotics and other edge technology and leading translating ideas and concepts into business opportunities.
• Motivated by the challenges of solving complex problems and a passion for making things happen.
• Ability to rapidly grasp new concepts.
• Ability to provide technical clarity and business direction to executive leaders
• Effective presentation and persuasion skills
• Project management skills
• Strong team-building skills
• Highly motivated with the ability to work independently.
• Exhibits a curious mind.
• An ability to think strategically and creatively
• Comfortable with uncertainty and ambiguity

Please contact Prasad at BNY Mellon directly in addition to applying via the application link included in this job posting (replace the "AT" with @):  Abhinav.Prasad "AT" bnymellon.com

What we are doing

We launched just over two years ago a global digital team, led by Roman Regelman, who is also CEO of Asset Servicing. The Digital team drives BNY Mellon’s core digitization strategy and is responsible for mapping our digital future, investing in digital capabilities, including analytics, artificial intelligence, machine learning, blockchain and others.

The Digital team focuses on maximizing the impact of our investments in digital capabilities by driving significant improvements in business performance, developing new service offerings / products as well as enhancing client and employee experience. The team is accelerating execution of the bank’s innovation strategy.

Role and Responsibilities:

As a member of the Advanced Digital Solutions team, you will have the opportunity to deliver tangible value and advance the digital agenda across the enterprise by accelerating effective use of AI. We want someone who has an excellent knowledge of statistics and machine learning. Additionally, you must love writing code and have exceptional programming skills

• Lead in the development, validation and delivery of algorithms, statistical models and reporting tools.
• Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
• Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.
• Interact with internal and external peers and managers to exchange complex information related to areas of specialization.
• Use strong programming skills to explore, examine and interpret large volumes of data in various forms.
• Work with cross-functional teams to gather, wrangle, cleanse, and structure data and build models that are aligned with measurable business outcomes.
• Work with current databases to build pipelines for manipulation, visualization, and descriptive/predictive modeling
• Driving / promoting best practices on effective use of AI solutions

Qualifications:

• Advanced Degree in Mathematics, Computer Science, Engineering or a related discipline, or equivalent work experience required.
• 6+ years of industry experience in analytics, data science or related field

Skills and Competencies:

• Deep understanding of statistical concepts including descriptive analysis, experimental design, Bayesian statistics, sub-setting, and regression
• Proficiency with statistical and data mining techniques including generalized linear model/regression, random forest, boosting, trees, text mining, social network analysis, dimensionality reduction algorithms
• Proficiency with machine learning techniques such as clustering, decision tree learning, naive Bayes, support vector machines, neural networks, sequential models for NLP.
• Stellar programming ability in Python
• Proficiency with frameworks including TensorFlow, Torch, scikit-learn, Keras, etc.
• Visualizing and presenting data for stakeholders using: plotly, seaborn, ggplot, etc
• Experience with databases (PostgreSQL, MySQL, Oracle, MongoDB)
• Experience working in a production environment including best practice tools
• Ability to communicate complex concepts in easy-to-understand terminology
• Excellent analytical and problem-solving skills
• Able to deal well with uncertainty and unstructured problems to be solved    
• Experience in the securities, financial services, or asset management industry a plus

Link to apply: https://www.citadel.com/careers/details/quantitative-researcher-phd-full-time-us/

• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Back test and implement trading models and signals in a live trading environment
• Use unconventional data sources to drive innovation
• Conduct research and statistical analysis to build and refine monetization systems for trading signals

• PhD degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field
• Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
• Prior experience working in a data driven research environment
• Experience with NoSQL databases (e.g., MongoDB)
• Experience with distributed computing using MapReduce
• Experience with translating mathematical models and algorithms into code (Python, R or C++)
• Independent research experience
• Ability to manage multiple tasks and thrive in a fast-paced team environment
• Excellent analytical skills, with strong attention to detail
• Strong written and verbal communication skills

About Citadel

Citadel is a global investment firm built around world-class talent, sound risk management, and innovative leading-edge technology. For thirty years, Citadel’s hedge funds have delivered meaningful and measurable results to top-tier investors around the world, including sovereign wealth funds, public institutions, corporate pensions, endowments and foundations.

With an unparalleled ability to identify and execute on great ideas, Citadel’s team of investment professionals, operating from offices including Chicago, New York, San Francisco, London, Hong Kong and Shanghai, deploy capital across all major asset classes, in all major financial markets.

Full posting: https://www.citadel.com/careers/details/quantitative-researcher-phd-intern-us/

The Machine Learning Department invites applications for summer and fall 2022 internships.  We have research projects covering many areas of machine learning. The internship will involve research and development of novel machine learning algorithms with applications in image/video analysis, natural language processing, big data analytics, bioinformatics, and health care. Our internships normally result in high-quality publications. Minimum duration of the internships are usually 3 months and the exact dates are flexible.

The Machine Learning group conducts research on various aspects of machine intelligence and reasoning, from the exploration of new algorithms to applications in computer vision, semantic comprehension, and bioinformatics. Our researchers have extensive expertise in theoretical and application aspects of machine learning, as well as in the development of parallel algorithms for large-scale data analysis.

Ongoing projects focus on machine reasoning, text understanding, deep generative models, representation learning, few-shot/zero-shot learning, interpretable models, data visualization, deep learning systems, and reasoning with combinatorial optimization, among others. Publishing is an integral part of our activities as a means for calibrating the quality of the research and to ensure staying at the forefront of technology. Application projects emphasize technologies that solve real world problems, and many of our research results have been and will be transferred into industry products.

The Media Analytics Department is seeking the next generation of thought leaders in computer vision and machine learning for research internships in Summer 2022. Our interns work closely with the research team to explore creative directions with a potential for high impact in industry and the broader community. 

Intern projects usually result in student-led papers published at top-tier venues such as CVPR, ICCV, ECCV or NeurIPS. Outstanding applicants pursuing a PhD in all areas of computer vision are encouraged to apply, including but not limited to the following:
• 3D scene understanding
• Visual recognition
• Domain adaptation and generalization
• Multi-task and multimodal representations
• Vision-language understanding
• Implicit neural representations
• Embodied AI
• Fairness and sustainability
• Privacy-aware learning
• Computational photography

If you are as thrilled as us about advances in computer vision, join us for a fun-filled Summer 2022! To check out our latest work, please visit: https://www.nec-labs.com/media-analytics/

Please contact Nicole at  <nicole.pintone AT philips.com> to apply directly or with questions.

Intern – Multimodal Sensing – Cambridge, MA - 2021-

Are you interested in an Intern opportunity with Philips? We welcome individuals who are currently pursuing (or have recently completed) an undergraduate (BS) and/or graduate (MS) degree to participate in 3-6-month paid intern/co-op opportunities at our sites across the US. Through these roles you will gain meaningful, hands-on experience in engineering for a HealthTech company.

If you are a Colorado resident and this role is a field-based or remote role, you may be eligible to receive additional information about the compensation and benefits for this role, which we will provide upon request.  You may contact 888-367-7223, option 5, for assistance.

In this role, you have the opportunity to

Our team in Cambridge is developing intelligent, multimodal contactless monitoring solutions to assess the health status of individuals. You will help expand and improve our solutions to tackle practical challenges, by exploring state-of-the-art computer vision, signal processing and machine learning technologies. You will have the opportunity to make true contributions to world-leading technologies, which might be used in a variety of settings including military applications and emergency scenarios. 

You are a part of

As a Research intern at Philips you will have the opportunity to create a meaningful impact on your career by enhancing the skills within your field, while developing break-through solutions that will create a meaningful impact on the lives of others. Whether you’re working on Connected Care and Personal Health or Ultrasound Imaging and Interventions (UII), you will have the opportunity to experience the ins and outs of a globally diversified company whose mission is to impact the lives of 3 billion people a year by 2025. That’s no small task. But we’re up for the challenge. Are you?  

To succeed in this role, you should have the following skills and experience

Education: enrolled in BSc, or MSc/PhD graduate student in the fields of Electrical Engineering, Biomedical Engineering, Physics or Computer Science.

Background: 

• Familiar with video processing, robot vision, audio processing, or image processing.
• Familiar with continuous biomedical signals: heart rate, respiratory rate, temperature and some signal processing techniques
• Familiar with sensors for biomedical signal acquisition (experience with multi-sensor fusion is preferred)
• Familiar with statistical analysis techniques
• Familiar with hands-on work in experimental settings
• Good problem-solving skills and creativity

Programming Languages: Proficient in different programming languages such as Python/C/C++/C#.

In return, we offer you

The ability to collaborate with, learn and grow from colleagues in a highly complex, global organization where you can use your strengths to help drive strategic business initiatives for Philips.  Additionally, we provide you a dynamic working environment in an innovative business, paired with a competitive salary, excellent benefits, and a supportive atmosphere where you can sharpen your talents with new challenges and career opportunities.

US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa.

Company relocation benefits will not be provided for this position. Candidates need to live within the territory or within commuting distance to Cambridge, MA

Why should you join Philips?

Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum. Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways. Learn more by watching this video.

To find out more about what it’s like working for Philips at a personal level, visit the Working at Philips page on our career website, where you can read stories from our employee blog. Once there, you can also learn about our recruitment process, or find answers to some of the frequently asked questions.

It is the policy of Philips to provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to race, color, ethnicity, religion, gender, pregnancy/childbirth, age, national origin, sexual orientation, gender identity or expression, disability or perceived disability, genetic information, citizenship, veteran or military status or a person’s relationship or association with a protected veteran, including spouses and other family members, marital or domestic partner status, or any other category protected by federal, state and/or local laws.

As an equal opportunity employer, Philips is committed to a diverse workforce. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance.

 Equal Employment and Opportunity Employer/Disabled/Veteran

#LI-PH1

The Opportunity

We are seeking motivated engineering interns to help create amazing new technologies!

What you will do

You will collaborate with one or more of the researchers in our lab to research and create new technologies for our products, internal tools, infrastructure, or libraries. This position offers the opportunity to collaborate with extraordinary researchers, engineers, innovators, and designers. You will deepen your research awareness and skill as well as hone your professional engineering ability.

Responsibilities:

• At the beginning of the internship you will work with your mentor to build and present a project plan for the internship.
• Present the project at the end of the internship.
• Meeting regularly about progress and challenges.
• Pursue your weekly goals independently, and seek help when needed.

What you need

• Enrolled in computer science or equivalent majors (opportunities exist for all levels of experience)
• Self motivated
• Good communicator
• Eager to learn and a quick study
• Sufficient depth of expertise relevant to subject area (to be discussed during interviews)
• Creativity

The Opportunity
Adobe Research is looking for brilliant minds who are excited about pushing the state of the art in research areas that impact Adobe’s products and future endeavors. Research and Engineering internships for Spring, Summer and Fall of 2022 are now open to applicants pursuing PhD and master's degrees (exceptional undergraduates will also be considered). 

Working directly with one or more researchers, you will have access to robust computational resources and world-class product and design teams, empowering you to see your work touch millions of screens across the globe.  

Summary  

Adobe Researchers are developing the next generation of advanced technologies and user experiences, inventing a future where Adobe enables new forms of creativity, frees people from routine tasks, and allows enterprises to understand and act quickly on customer and business insights.  Our research labs actively publish in leading journals and conferences, work with product teams on high profile features, and explore new product opportunities across various domains. We are especially interested in fostering ongoing collaborations that last beyond the internship and become part of your PhD thesis.

Adobe Research focuses on the following research areas:

• Data Science  
• Machine Learning  
• Computer Graphics (2D&3D)
• Document Intelligence  
• Computer Vision  
• Imaging and Video  
• Audio  
• Systems and Languages  
• Natural Language Processing  
• Large Scale Distributed Systems  
• Multimedia Systems  
• Human Computer Interaction  
• AR, VR & 360 Photography 

What you will do 

Under the direction of an Adobe Research mentor, pursue a research problem with applicability to Adobe’s products and with the possibility of academic publication 

•  Develop new algorithms, run experiments, and produce demonstration prototypes  
•  Document and present your work, both verbally and in writing 

What you will need 

• Current PhD or master's student in computer science, or related field (exceptional undergraduates will also be considered) 
• Sufficient research skills and background in your chosen subject area 
•  Strong communication skills and teamwork experience 
• Passion for solving real world problems with web scale data using and inventing state of the art Machine Learning algorithms. 

The Opportunity  

We are seeking motivated engineering interns to help create amazing new technologies! 

What you will do  

You will collaborate with one or more of the researchers in our lab to research and create new technologies for our products, internal tools, infrastructure, or libraries. This position offers the opportunity to collaborate with extraordinary researchers, engineers, innovators, and designers. You will deepen your research awareness and skill as well as hone your professional engineering ability. 

Responsibilities: 

• At the beginning of the internship you will work with your mentor to build and present a project plan for the internship. 

• Present the project at the end of the internship. 

• Meeting regularly about progress and challenges. 

• Pursue your weekly goals independently, and seek help when needed. 

What you will need  

• Enrolled in computer science or equivalent majors (opportunities exist for all levels of experience) 

• Self motivated 

• Good communicator 

• Eager to learn and a quick study 

• Sufficient depth of expertise relevant to subject area (to be discussed during interviews) 

• Creativity 

In your application please highlight how you are aligned with our research directions (found here: https://research.adobe.com/research/). 

The Opportunity

Adobe Research is looking for brilliant minds who are excited about pushing the state of the art in research areas that impact Adobe’s products and future endeavors. Research and Engineering internships for Spring, Summer and Fall of 2022 are now open to applicants pursuing PhD and master's degrees (exceptional undergraduates will also be considered).   

Working directly with one or more researchers, you will have access to robust computational resources and world-class product and design teams, empowering you to see your work touch millions of screens across the globe.   

Summary    
Adobe Researchers are developing the next generation of advanced technologies and user experiences, inventing a future where Adobe enables new forms of creativity, frees people from routine tasks, and allows enterprises to understand and act quickly on customer and business insights. Our research labs actively publish in leading journals and conferences, work with product teams on high profile features, and explore new product opportunities across various domains. We are especially interested in fostering ongoing collaborations that last beyond the internship and become part of your PhD thesis.  
Adobe Research focuses on the following research areas:  

• Data Science    
• Machine Learning    
• Computer Graphics (2D&3D)  
• Document Intelligence    
• Computer Vision    
• Imaging and Video    
• Audio    
• Systems and Languages    
• Natural Language Processing    
• Large Scale Distributed Systems    
• Multimedia Systems    
• Human Computer Interaction    
• AR, VR & 360 Photography    

   
What you will do   
Under the direction of an Adobe Research mentor, pursue a research problem with applicability to Adobe’s products and with the possibility of academic publication   

•  Develop new algorithms, run experiments, and produce demonstration prototypes    
•  Document and present your work, both verbally and in writing   

What you will need

• Current PhD or master's student in computer science, or related field (exceptional undergraduates will also be considered)   
• Sufficient research skills and background in your chosen subject area   
•  Strong communication skills and teamwork experience   
• Passion for solving real world problems with web scale data using and inventing state of the art Machine Learning algorithms.   

*Interested students may contact Philip at CSAIL (pmarsena AT mit.edu) or John at Fidelity ( John.Stather AT fmr.com ) to apply*

JOB TITLE- Senior Data Scientist

Fidelity Workplace Investing is seeking a Data Scientist with a Master’s degree in a quantitative or computational field such as Statistics, Operations Research, Computer Science, Data Science, Machine Learning, Economics, Business Analytics, or Applied Mathematics, with 4+ years of relevant industry or research experience, OR a PhD degree in similar fields with 2+ research or industry experience.

The Purpose of Your Role

The functions of this role include applications of data science and advanced analytics for improving Fidelity’s products and services to meet the needs of Workplace Investing clients and participants. The successful candidate will work primarily with senior, principal, and lead data scientists, product, marketing, finance, and technology teams across the firm. The assignments will include gathering internal and external data from multiple sources including surveys and data warehouses, data processing, exploratory data analysis, predictive analytics, unstructured data mining, prescriptive analytics, interpretation of findings, and presentation.

The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a small, high performing work environment and acts with confidence to communicate to all levels of Workplace Solutions as well as associates and management from other business units.  The ideal Data Scientist for this role should demonstrate a solid level of data science, statistical, and machine learning knowledge as well as experience with data science systems and processes. I.e., they can gather the data (survey or data warehouse, structured or unstructured) in any shape and size using any programming languages necessary, process the data, analyze them graphically and statistically, develop and execute statistical, econometric, machine learning, and other artificial intelligence approaches, draw interesting and unique insights into the business, package the information into meaningful and effective presentations, and finally be able to present to technical and non-technical audiences.

The Skills You Bring

• Data extraction and feature engineering skills for extracting, processing, and transforming big and small data into meaningful features for machine learning models.  Some experience in summarizing the data into meaningful reports showing multivariate relationships among the features in the data.  Proficient in SQL and at least one major relational database management system.
• Statistical and data science programming with proficiency in Python (Anaconda, 3.0+) and common machine learning libraries.  Able to develop organized, intuitive, and documented code in Jupyter and/or an IDE.  Experience with R also preferred but not required.  Some experience in training regression and classification models using typical ML algorithms and creating clear model documentation (features of importance,  algorithms and model accuracy).  
• Knowledge of most of the following quantitative fields: Econometric Time Series Analysis, Analysis of Survey Data, Advanced Statistical Modeling, Machine Learning & Artificial Intelligence, Causal Inference & Program Evaluation, Bayesian Network, Uplift Modeling, Recommender System, Text Mining & Natural Language Processing, Behavioral Economics, Design of Experiment, Mathematical Programming, Multi-Objective Optimization, Decision Theory, Stochastic Optimization, Reinforcement Learning, Monte Carlo Simulation, and Bayesian Statistics
• Exploratory data analysis and statistical graphics
• Experience in Big Data technologies such as Snowflake, Sagemaker, Hadoop, MapReduce, and/or other cloud-based data science platform
• Advanced Excel and PowerPoint skills
• Knowledge of business fields, social sciences, or health sciences a plus, such as Marketing, Finance, Economics, Survey Research, Accounting, Psychology, Management, Epidemiology, Bioinformatics, Health Economics, and Health Policy & Management
• Highly meticulous with proven ability to ensure quality of complex data and analysis
• Ability to pick up new knowledge fast and enthusiastic about continuous learning
• Solid verbal and written communication skills, including the ability to interact with various levels of management from different functions
• Be proactive and takes initiatives; thinks creatively, drives projects to completion and insists on the highest level of quality

The Value You Deliver

• Intelligently applying data science and advanced analytics to support customer needs, improve customer experience, develop new products, and support marketing, sales & technology for Workplace Solution products
• Proactively identifying business opportunities and solutions
• Gathering internal and external data (structured or unstructured) from multiple sources using any programming languages necessary
• Processing and analyzing big and complex data as well as unstructured data
• Researching cutting-edge techniques, tools, and systems
• Deriving and implementing best approaches for predictive and prescriptive analytics
• Interpreting results and drawing key business insights from advanced quantitative analyses
• Presenting to broader audience and senior management
• Acquiring or developing innovative methodologies

How Your Work Impacts the Organization

As a data scientist in Fidelity Workplace Investments, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products and will take the organization to the next level.

Company Overview

At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit FidelityCareers.com

Fidelity Investments is an equal opportunity employer.

*Interested students may contact Philip at CSAIL (pmarsena AT mit.edu) or John at Fidelity ( John.Stather AT fmr.com ) to apply*

JOB TITLE- Data Scientist

Fidelity Workplace Investing is seeking a Data Scientist with a Master’s degree in a quantitative or computational field such as Statistics, Operations Research, Economics, Business Analytics, Computer Science, Data Science, Machine Learning, or Applied Mathematics, OR a Data Scientist with a Bachelor’s degree in a similar field with at least two years of relevant industry or research experience.

The Purpose of Your Role

The functions of this role include applications of data science and advanced analytics for improving Fidelity’s products and services to meet the needs of Workplace Investing clients and participants. The successful candidate will work primarily with senior, principal, and lead data scientists, product, marketing, finance, and technology teams across the firm. The assignments will include gathering internal and external data from multiple sources, data processing, exploratory data analysis, predictive analytics, unstructured data mining, prescriptive analytics, interpretation of findings, and presentation.

The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a small, high performing work environment and acts with confidence to communicate to all levels of Workplace Solutions as well as associates and management from other business units.  The ideal Data Scientist for this role should demonstrate a solid level of data science and machine learning knowledge as well as experience with data science systems and processes. I.e., they can gather the data (structured or unstructured) in any shape and size using any programming languages necessary, process the data, analyze them graphically and statistically, develop and execute machine learning and other artificial intelligence approaches, draw interesting and unique insights into the business, package the information into meaningful and effective presentations, and finally be able to present to technical and non-technical audiences.

The Skills You Bring

• A strong Python and SQL programmer with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling and pipeline automation.  An ability to summarize data into reports showing basic relationships among features in the data.  An ability to write object-oriented solutions and to package together and streamline existing models is preferred
• Familiarity with at least some of the following quantitative fields: Advanced Statistical Analysis & Modeling, Econometric Time Series Analysis, Mathematical Programming, Multi-Objective Optimization, Decision Theory, Machine Learning & Artificial Intelligence, Causal Inference & Program Evaluation, Bayesian Network, Text Mining & Natural Language Processing, Behavioral Economics, Uplift Modeling, Recommender System, Design of Experiment, Reinforcement Learning, Monte Carlo Simulation, and Bayesian Statistics.  Some experience in training regression and classification models using typical ML algorithms.  
• Exploratory data analysis and statistical graphics
• Experience in Big Data technologies such as Snowflake, Sagemaker, Hadoop, MapReduce, and/or other cloud-based data science platform
• Advanced Excel and PowerPoint skills
• Knowledge of business fields, social sciences, or health sciences a plus, such as Marketing, Finance, Economics, Survey Research, Accounting, Psychology, Management, Epidemiology, Bioinformatics, Health Economics, and Health Policy & Management
• Highly meticulous with proven ability to ensure quality of complex data and analysis
• Ability to pick up new knowledge fast and enthusiastic about continuous learning
• Solid verbal and written communication skills, including the ability to interact with various levels of management from different functions
• Be proactive and takes initiatives; thinks creatively, drives projects to completion and insists on the highest level of quality

The Value You Deliver

• Intelligently applying data science and advanced analytics to support customer needs, improve customer experience, develop new products, and support marketing, sales & technology for Workplace Solution products
• Proactively identifying business opportunities and solutions
• Gathering internal and external data (structured or unstructured) from multiple sources using any programming languages necessary
• Processing and analyzing big and complex data as well as unstructured data
• Researching cutting-edge techniques, tools, and systems
• Deriving and implementing best approaches for predictive and prescriptive analytics
• Interpreting results and drawing key business insights from advanced quantitative analyses
• Presenting to broader audience and senior management
• Acquiring or developing innovative methodologies

How Your Work Impacts the Organization

As a data scientist in Fidelity Workplace Investments, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products and will take the organization to the next level.

Company Overview

At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit FidelityCareers.com

Fidelity Investments is an equal opportunity employer.

*Interested students may contact Philip at CSAIL (pmarsena AT mit.edu) or John at Fidelity ( John.Stather AT fmr.com ) to apply*

Senior Data Scientist – Natural Language Processing and Document Automation

Fidelity Workplace Investing is seeking a Senior Data Scientist with experience in natural language processing, OCR, computer vision, information retrieval, question answering, machine learning, various deep learning related technologies, predictive and prescriptive analytics. 

This position will be based full time in Boston, MA or Durham, NC.

The Purpose of Your Role

This individual will lead high profile data science and artificial intelligence projects working closely with Technology, Product Management, and others across multiple business units and teams to define and develop AI-based solutions.  Candidate must be comfortable in a fast-paced, unpredictable and sometimes ambiguous environment working with current and emerging AI technologies. The assignments will include gathering data from multiple sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of findings, presentation, and system implementation.

The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a high performing work environment and acts with confidence to communicate to all levels of Workplace Investing and the Fidelity Enterprise

The Skills You Bring

• PhD in Computer Science or other related STEM disciplines with research papers on natural language processing, OCR, computer vision, and information retrieval, OR Master’s Degree in Computer Science, Statistics, Data Science or similar technical disciplines with 5 years relevant professional experience
• Deep understanding of Machine Learning & Deep Learning algorithms
• Knowledge of most of following quantitative fields: Natural Language Processing, OCR, Computer Vision, Information Retrieval, Machine Comprehension, Question Answering, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment
• A strong Python and SQL programmer with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling and pipeline automation. An ability to write object-oriented solutions and to package together and streamline existing models is preferred
• Experience in Big Data, information retrieval, NLP, and questing answering technologies such as BERT/BART, GPT, SQuAD, Snorkel, TFIDF, OCR, computer vision, etc.
• Knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O is preferred

The Value You Deliver

• Guide data science and data engineering elements of AI projects
• Guide and perform data identification, collection and qualification activities
• Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions
• Develop best practices for data science, considering the full analytical lifecycle
• Develop guidelines for the evaluation of new analytical tools and platforms
• Implement new technologies in a production environment with product, IT, and data engineering teams
• Present reports and findings to senior level technical and non-technical audiences
   

How Your Work Impacts the Organization

As a data scientist in Fidelity Workplace Investments, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products, and will take the organization to the next level.

Company Overview

At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit FidelityCareers.com

Fidelity Investments is an equal opportunity employer.

*Interested students may contact Philip at CSAIL (pmarsena AT mit.edu) or John at Fidelity ( John.Stather AT fmr.com ) to apply*

Data Scientist – Natural Language Processing and Document Automation

Fidelity Workplace Investing is seeking Data Scientists with experience in natural language processing, information retrieval, question answering, OCR, computer vision, machine learning, various deep learning related technologies, predictive and prescriptive analytics. 

This position will be based full time in Boston, MA or Durham, NC.

The Purpose of Your Role

This individual will be working high profile data science and artificial intelligence projects working closely with Technology, Product Management, and others across multiple business units and teams to define and develop AI-based solutions.  Candidate must be comfortable in a fast-paced, unpredictable and sometimes ambiguous environment working with current and emerging AI technologies. The assignments will include gathering data from multiple sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of findings, presentation, and system implementation.

The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a high performing work environment and acts with confidence to communicate to all levels of Workplace Investing and the Fidelity Enterprise

The Skills You Bring

• Master’s Degree in Computer Science or other related STEM disciplines with research experience on natural language processing, OCR, computer vision, OR Bachler Degree in Computer Science, Statistics, Data Science or other related STEM disciplines with 5 years relevant professional experience
• Deep understanding of Machine Learning & Deep Learning algorithms
• Familiarity with at least some of following quantitative fields: Natural Language Processing, OCR, Computer Vision, Information Retrieval, Machine Comprehension, Question Answering, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment
• A strong Python and SQL programmer with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling and pipeline automation. An ability to write object-oriented solutions and to package together and streamline existing models is preferred
• Experience in Big Data, information retrieval, NLP, OCR and questing answering technologies such as BERT/BART, GPT, SQuAD, Snorkel, TFIDF, etc.
• Knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O is preferred

The Value You Deliver

• Develop the models and elements of AI projects
• Develop best practices for data science, considering the full analytical lifecycle
• Develop guidelines for the evaluation of new analytical tools and platforms
• Implement new technologies in a production environment with product, IT, and data engineering teams
• Present reports and findings to senior level technical and non-technical audiences
   

How Your Work Impacts the Organization

As a data scientist in Fidelity Workplace Investments, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products, and will take the organization to the next level.

Company Overview

At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit FidelityCareers.com

Fidelity Investments is an equal opportunity employer.

Customer Financial Services (CFS) is looking for a talented researcher to join a new AI research team. The core focus of this team is to transform today’s business processes into AI-driven processes. This researcher will help accomplish this goal through collaboration with other researchers to develop and deploy cutting-edge ML algorithms across the organization.  
The team is currently working on computer vision for document scanning and deep learning for natural language processing and time series.

Key Responsibilities

-    Lead cutting-edge research in artificial intelligence and machine learning applications
-    Design and test new analytical methods with a creative blend of theory and practice
-    Develop and test new algorithms/functions to address core subject-matter requirements and customer engagements
-    Initiate and lead research programs spanning multiple areas of strategic importance, guiding and coordinating research staff responsible for specific areas
-    Interacts with business leaders to understand business strategy, conditions, and problem areas
-    Communicate and present research and findings in a precise manner to business leaders and executives
-    Influence decision making based on insight from research projects
-    Consult across all processes at Dell and recommend short-term and long-term solutions
-    Build a research portfolio for short-term and long-term expected business wins built on state-of-the-art and emerging technologies
-    Develop IP for Dell in the form of patents and submit publications to relevant conferences (such as CVPR, NeurIPS, ICCV, ECCV, ICML, ICLR, etc.)
-    Deliver results and presentations in a timely manner and handle projects with a long- term focus
-    Collaborate with groups from academic institutions and teams of business partners
-    Serve as subject-matter analytics expert in presentations to customers and larger audiences
-    Mentor and educate new data scientists with best practices and latest techniques

Requirements

-    CS, Statistics, Physics, Mathematics, Engineering (or related field) education
-    Master’s and PhD students are preferred, however those with Bachelor’s degrees and extensive research experience will be considered

-    Experience contributing to research communities and/or efforts, including publications at conferences and/or patents
-    Experience in experimental design across multiple domains of research
-    Must have exceptional communication skills as you would have to clearly articulate advanced concepts to a wide range of audiences
-    Demonstrated ability to deliver enterprise grade AI/Machine learning solutions for large scale environments
-    GPU programming experience
-    Passion to keep current on emerging technologies in the big data, data science, artificial intelligence and machine learning space
-    Experience with Python, R, Scala, C, C++
-    Ability to prioritize and manage work load on critical projects

Benefits
Our people are the most critical component of our long-term success:

-    Life at Dell means collaborating with dedicated professionals with a passion for technology
-    Our people demonstrate our winning culture through positive and meaningful relationships
-    We invest in our people and offer top notch training that can accelerate your career

Dell is a collective of customer-obsessed, industry-leading visionaries. At our core is a commitment to diversity, sustainability and our communities. We offer unparalleled growth and development opportunities for our team members. We believe that technology is essential for driving human progress, and we’re committed to providing that technology to people and organizations everywhere, so they can transform the way they work and live.
Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race,  religion or belief, national, social or ethnic origin, sex
(including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. 

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team. As a DevOps, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You’ll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services 

Basic Qualifications:

• Bachelor’s degree 

• At least 4 years of experience in DevOps Engineering

• At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)

• At least 2 years of Unix or Linux system administration experience

Preferred Qualifications:

• 2+ years of experience with Terraform or Ansible

• 2+ years of experience with container orchestration services including Docker or Kubernetes

• 2+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) 

• 2+ years of experience working with Agile Development Practices

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 

What You’ll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems

• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications: 

• Bachelor’s Degree 

• At least 4 years of experience in application development

• At least 1 year of experience in big data technologies 

Preferred Qualifications: 

• 5+ years of experience in application development including Python, SQL, Scala, or Java

• 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

• 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)

• 2+ year experience working on real-time data and streaming applications 

• 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 

• 2+ years of data warehousing experience (Redshift or Snowflake) 

• 3+ years of experience with UNIX/Linux including basic commands and shell scripting

• 2+ years of experience with Agile engineering practices 

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.  We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You’ll Do: 

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that  help meet regulatory needs for the company

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services 

Basic Qualifications: 

• Bachelor’s Degree

• At least 6 years of experience in software engineering

• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

• At least 2 years of people management experience

Preferred Qualifications:

• Master's Degree

• 7+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js

• 2+ years of experience with AWS, GCP, Azure, or another cloud service

• 4+ years of experience in open source frameworks

• 5+ years of people management experience

• 2+ years of experience in Agile practices

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Master Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 

What You’ll Do: 

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that  help meet regulatory needs for the company

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services 

Basic Qualifications: 

• Bachelor’s Degree

• At least 6 years of experience in software engineering

• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

• Master's Degree

• 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

• 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service

• 4+ years of experience in open source frameworks

• 1+ years of people management experience

• 2+ years of experience in Agile practices

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 

What You’ll Do: 

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services 

Basic Qualifications: 

• Bachelor’s Degree

• At least 4 years of experience in software engineering 

Preferred Qualifications:

• 5+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

• 1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service

• 3+ years of experience in open source frameworks

• 2+ years of experience in Agile practices

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 

What You’ll Do: 

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services 

Basic Qualifications: 

• Bachelor’s Degree 

• At least 2 years of experience in software engineering 

Preferred Qualifications: 

• 3+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

• 1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service

• 2+ years of experience in open source frameworks

• 2+ years of experience in Agile practices

As a Capital One Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Working within an Agile environment, you’ll serve as a technical lead, providing input into machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. 

What you’ll do in the role: 

• Deliver ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams

• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment 

• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications

• Leverage cloud-based architectures and technologies to deliver optimized ML models at scale 

• Construct optimized data pipelines to feed ML models 

• Use programming languages like Python, Scala, or Java 

• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code 

Basic Qualifications :

• Bachelor’s degree. 

• At least 3 years of experience designing and building data-intensive solutions using distributed computing 

• At least 4 years of experience programming with Python, Scala, or Java

• At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) 

• At least 1 year of experience productionizing, monitoring, and maintaining models 

Preferred Qualifications:

• 1+ years of experience building, scaling, and optimizing ML systems

• 1+ years of experience with data gathering and preparation for ML models

• 2+ years of experience developing performant, resilient, and maintainable code

• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform

• Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 

• 3+ years of experience with distributed file systems or multi-node database paradigms

• Contributed to open source ML software 

• Authored/co-authored a paper on a ML technique, model, or proof of concept

• 3+ years of experience building production-ready data pipelines that feed ML models 

• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 

As a Capital One Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Working within an Agile environment, you’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering to keep Capital One at the cutting edge of technology.  

What you’ll do in the role: 

• Deliver ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams

• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment 

• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications

• Leverage cloud-based architectures and technologies to deliver optimized ML models at scale 

• Construct optimized data pipelines to feed ML models 

• Use programming languages like Python, Scala, or Java 

• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code 

Basic Qualifications:

• Bachelor’s degree 

• At least 2 years of experience designing and building data-intensive solutions using distributed computing

• At least 2 years of experience programming with Python, Scala, or Java 

• At least 1 year of Machine Learning experience with an industry recognized ML framework (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) 

Preferred Qualifications 

• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 

• 1+ years of experience working with large code bases in a team environment

• 1+ years of experience with distributed file systems or multi-node database paradigms 

• Contributed to open source ML software

• 1+ years of experience building production-ready data pipelines that feed ML models

The Data Science team (http://www.nec-labs.com/research-departments/data-science-systems-research/data-science-systems-research-home) aims to build novel big data solutions and smart platforms to simplify complex system and service management. Our research is both experimental and theoretical, covering many domains such as time series analysis, graph mining, NLP and document analysis, reinforcement and imitation learning. We have built a number of analytic engines to analyze big data and support various applications in detection, prediction and optimization. Our research leads to both award-winning NEC products and publications in top conferences.

The team is seeking data scientists to work in the area of data analytics and service development. The ideal candidate will have strong background in data mining and machine learning, as well as experiences in software development. 

Position Requirements:

• BS degree or higher in Computer Science, Engineering or other quantitative programs.
• Good knowledge in machine learning and data mining, probability and statistics, data structures and algorithms.
• Proficiency in data analysis tools such as Numpy/Scikit-learn/Pandas, TensorFlow or PyTorch.
• Experience with web development using HTML/CSS/JavaScript (jQuery/React/Backbone/Angular/Ember).
• Innovative and creative thinking, and strong written and verbal communication skills.
• U.S citizenship (preferred) or U.S permanent resident.

Data Scientist Postdoc

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Data Scientist Postdoc, are to: 

• Be an active member of a highly interdisciplinary and cross-organizational team;
• Stay current with the fast-paced innovation in machine learning applied to the analysis of biomolecules, with a focus on modelling the “language of life”;
• Collaboratively develop a high-quality toolkit for data processing and machine learning of biomolecular data;
• Come up with new ideas, own and pursue a research agenda to carry out long-running projects;
• Conceive, execute and evaluate models and experiments, interpret the results and present them in various cross functional meetings;
• Help other researchers use machine learning in their daily discovery activities;
• Work in collaboration with peers located in the Pharmaceutical and Consumer Health Divisions;
• Strengthen external visibility and scientific excellence through publishing, open source code and engaging with the scientific community.
   

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values.  More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Bachelor’s degree with at least five years of experience or Master’s degree with at least two years of experience or Ph.D.;
• Educational preparation or applied experience in at least one of the following areas, Machine Learning, Electrical/Industrial Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline;
• Profound experience with state-of-the-art advanced mathematical models, machine learning methods and model selection concepts;
• Excellent programming and software engineering skills in Python;
• Proficiency in writing code and experience in cloud computing;
• Highly creative, independent, fast-learning person with outstanding problem-solving ability and the willingness to undertake challenging analysis tasks autonomously and in a timely fashion;
• A sincere interest for biology and the life sciences;
• Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively both independently and in cross-functional teams;
• Willingness to travel between research sites domestically and globally;
• Fluency in English, both written and spoken;
• This role has a limited duration of 24 months.

Preferred Qualifications:

• Previous experience with deep learning;
• Knowledge of chemistry or biology;
• PhD

Job description

• Participate in back-end development and maintenance of related businesses, products and services;
• Understand the business requirements in depth, manufacture according to product requirements and technical requirements. Develop technical programmes, project plans and implement them according to the programmes
• Analyze and solve problems in the development process;
• Collaborate with other members of the project team to work with the project manager to accomplish relevant task objectives.

Requirements

• Undergraduate or above in computer science or related major;
• Familiar with medical imaging, DI.COM protocol with PACS or cloud service development experience preferred;
• Familiar with Web service development and experience in C++/Python;
• Familiar with Git, Docker basic command operations;
• Good document writing and development habits and patient communication skill;
• High motivation and responsibility。

Place of Workplace:
Singapore