Flagship Pioneering ML Internship
Core
Internship for computational scientists/engineers to apply deep technical experience and agentic development tools to solve out-of-distribution scientific questions by combining AI/ML with foundational science.
Role type
ML Intern (Computational Scientist)
Builds
AI-native companies and holistic answers to future-backwards questions
Domain
Scientific innovation, AI, Machine Learning, Human health, Sustainability
Deliverable
production ML models
Required skills
Software engineering fundamentals, Machine learning model implementation, Agentic development tools, Data strategy, Benchmarking capabilities, Iterative design
Preferred skills
Experience with multiple model classes, Experience across scientific domains
Technologies
GPU compute resources, AI-assisted screening tools
Responsibilities
Collaborate with Origination Teams to explore capabilities beyond current AI limits, Define implementation and evaluation plans, Implement and iterate on ML models/workflows, Leverage scalable GPU compute and ecosystem data, Build benchmarking capabilities to measure real uncertainties
