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Flagship Pioneering ML Internship

Flagship Pioneering · Cambridge, MA USA

unknownjunior$84,000–$108,000Posted Nov 2, 2026machine learningdeep learningGPU computebenchmarking

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About this role

**AI and ML at Flagship Pioneering** Flagship Pioneering is a scientific innovation engine that invents and builds companies that change the world. We bring entrepreneurial scientists together with experienced company builders and assemble the capital to allow them to take courageous leaps in human health, sustainability, technology, and beyond. Artificial intelligence is core to how Flagship conceives and builds companies. We call our approach *polyintelligence*: human creativity and nature’s intelligence integrating and coexisting with artificial intelligence. This model runs across our ecosystem—pairing advances in AI and machine learning with foundational science to move from idea to concept faster and build AI-native companies that were previously out of reach. **Who we are looking for** Computational scientists and engineers with broad interests and experience applying deep technical expertise to out-of-distribution scientific questions. Standalone implementation isn’t the goal—creatively spotting opportunities where extension, modification, and combination of cutting-edge computational approaches can unlock new capabilities to solve consequential problems. Strong candidates combine software engineering fundamentals with readiness to embrace agentic development tools/practices, and have experience implementing machine learning models and workflows across multiple model classes or scientific domains. **The Experience** You will collaborate with Flagship Origination Teams and fellow ML scientists/engineers to explore what is possible with big leaps beyond current AI capabilities. - Start by asking “What if” across a variety of ideas and building a “future backwards” case for what needs to be true for them to become reality. - Explore tradeoffs across multiple options, including what and how much data is needed and where it might come from. - Work toward implementation and evaluation plans that address real uncertainties—not just what is easy to measure. - With a project defined, implement, evaluate, and iterate. - Leverage Flagship’s scalable GPU compute resources, ecosystem data, and team expertise. - Implement the benchmarking capabilities needed to measure what matters and evaluate your designs. - Learn along the way and be ready to pivot on methods. Final work products are never just a model or a paper—they are holistic answers to the future-backwards questions we ask when originating the next big leap company. **Pay / Engagement** - **$7,000 – $9,000 per month** - Short-term engagement; **not eligible for health and welfare benefits** **Privacy Notice for Applicants** When you apply, we collect and use personal information you provide (e.g., name, contact details, work history, application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA. If you are located in the EU or UK, we process your data under GDPR. For questions or to exercise rights, contact **privacy@flagshippioneering.com**.

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