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

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

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

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

Responsibilities:

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

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

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

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

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

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

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

Qualifications:

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

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

·      Exceptional understanding of statistical and machine learning concepts

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

·      Familiarity with GIS Software (QGIS, ArcGIS)

·      Ability to clearly communicate complex and technical subject matters

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

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

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

Opportunities are available in our New York office. 

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

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

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

Qualifications:

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

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

·        Exceptional understanding of statistical and machine learning concepts

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

·        Ability to clearly communicate complex and technical subject matters

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

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

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

Opportunities are available in our New York office. 

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

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

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

Qualifications:

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

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

·        Exceptional understanding of statistical and machine learning concepts

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

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

·        Ability to clearly communicate complex and technical subject matters

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

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

·        AI research experience is a plus

Opportunities are available in our New York and Austin Offices.

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

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

Qualifications:

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

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

·        Exceptional understanding of statistical and machine learning concepts

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

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

·        Ability to clearly communicate complex and technical subject matters

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

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

·        AI research experience is a plus

Opportunities are available in our New York and Austin Offices. 

Underscore VC Venture Fellow Program

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