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

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

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

What You’ll Get

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

Who We're Looking For

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

Apply Here!

JOB TYPE: Internship

LOCATION: Remote

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

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

POSITIONS AVAILABLE: Up to three

DESCRIPTION: 

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

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

Experience:

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

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

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

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

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

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

The role

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

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

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

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

Your Responsibilities will include:

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

We expect you to have:

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

Nice to have:

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

Tools you may learn and use:

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

What we offer

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

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

Advanced Sensing & Quantum Devices Intern

AI-Based Cybersecurity Research Intern 

Decentralized AI Intern 

Networking Research Intern 

Wireless Systems Research Intern 

Photonics and Optics Co-Op 

Bell Labs Math and Algorithms Intern 

Photonics and Optics International Co-Op 

Bell Labs Platform&ASIC Research Intern 

Language Models for Databases Intern 

Opto-Electronic Subsystems Co-op 

Bell Labs AI-RAN Research Intern 

Bell Labs Fiber Optics Intern 

Bell Labs Optical Access Intl. Intern 

Network Systems Summer Intern 

AI/ML Systems Research Intern 

Bell Labs Optical Access Intern 

Optical Communication Research Intern 

Bell Labs Machine Learning and AI Intern 

Spatial computing/communications Intern 

RFIC Intern 

AI/ML Intern 

Bell Labs Fiber Optics Intl. Intern 

Bell Labs Fiber Optics Co-op 

Opto-Electronic Subsystems Intl. Co-op 

Thermal Research Intern 

Quantum Information Research Intern 

GenAI Intern 

Transport Network Arch. Research Intern 

Bell Labs Radio Systems 6G Intern 

Photonic Integration Intern

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

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

Role Overview

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

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

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

Key Responsibilities

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

Minimum Qualifications

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

Preferred Qualifications

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

Role Overview

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

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

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

Key Responsibilities

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

Minimum Qualifications

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

Preferred Qualifications

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

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.