Flagship Pioneering ML Internship

Flagship Pioneering, Inc. • Cambridge, MA

6d • $7,000 - $9,000

About The Position

The ML Intern will work with Flagship Origination Teams and fellow machine learning scientists and engineers to explore opportunities that could emerge from advances beyond current AI capabilities. The role involves developing “future backwards” cases for ideas, evaluating tradeoffs among approaches, determining data needs and potential sources, and designing implementation and evaluation plans that address meaningful uncertainties.

For defined projects, the intern will implement, evaluate, and iterate on machine learning approaches, using Flagship’s scalable GPU compute resources, ecosystem data, and expertise across its teams. The intern will also build benchmarking capabilities to evaluate whether designs measure what matters, adapt methods as the team learns, and contribute to holistic project outcomes beyond a standalone model or paper. This is a short-term engagement and is not eligible for health and welfare benefits.

Requirements

• Experience applying deep technical expertise to out-of-distribution scientific questions.
• Strong software engineering fundamentals.
• Readiness to embrace agentic development tools and practices.
• Experience implementing machine learning models and workflows across multiple model classes or scientific domains.
• Creative ability to identify opportunities where extending, modifying, or combining advanced computational and technical approaches can unlock capabilities to solve consequential problems.

Responsibilities

• Collaborate with Flagship Origination Teams and fellow ML scientists and engineers to explore opportunities beyond current AI capabilities.
• Develop future-backwards cases for ideas by identifying what needs to be true for them to become reality.
• Explore tradeoffs across potential approaches, including data requirements and potential data sources.
• Develop implementation and evaluation plans that address meaningful uncertainties.
• Implement, evaluate, and iterate on machine learning approaches for defined projects.
• Use Flagship’s scalable GPU compute resources, ecosystem data, and expertise across teams.
• Implement benchmarking capabilities to measure relevant outcomes and evaluate designs.
• Adapt or pivot methods as the team learns, contributing to holistic project outcomes.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed