Flagship Pioneering ML Internship

Computational scientists and engineers with broad interests and experience applying deep technical experience to out of distribution scientific questions. Standalone implementation isn’t the goal, it is creatively spotting opportunities where extension, modification and combination of bleeding edge computational and technical approaches can unlock new capabilities to solve consequential problems. Strong candidates will combine software engineering fundamentals with a readiness to embrace agentic development tools/practices and have experience implementing machine learning models and workflows across multiple model classes or scientific domains.