Flagship Pioneering ML Internship

Flagship Pioneering • Cambridge, MA

5d

About The Position

Flagship Pioneering is seeking computational scientists and engineers for a short-term machine learning internship. The role focuses on applying deep technical expertise to open-ended scientific questions and creatively combining, extending, or modifying computational approaches to address consequential problems. Interns collaborate with Flagship Origination Teams and other ML scientists and engineers to explore possibilities beyond current AI capabilities, develop “future backwards” cases for what must be true to realize ideas, and assess options for data, implementation, and evaluation. Once a project is defined, interns implement, evaluate, and iterate on solutions, using Flagship’s scalable GPU compute resources, ecosystem data, and team expertise. They also develop benchmarking capabilities to evaluate what matters. The work may change direction as the team learns, and final outcomes are intended to answer broader questions involved in originating new companies—not simply produce a model or paper. The pay range is $7,000–$9,000 per month. This short-term engagement is not eligible for health and welfare benefits.

Requirements

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

Responsibilities

• Collaborate with Flagship Origination Teams and fellow ML scientists and engineers to explore opportunities beyond current AI capabilities.
• Develop “future backwards” cases that identify what needs to be true for proposed ideas to become reality.
• Explore tradeoffs among approaches, including the amount and sources of data needed.
• Develop implementation and evaluation plans that address important uncertainties.
• Implement, evaluate, and iterate on project solutions.
• Use Flagship’s scalable GPU compute resources, ecosystem data, and expertise across its teams.
• Implement benchmarking capabilities to measure relevant outcomes and evaluate designs.
• Adapt or pivot methods as the team learns.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed