Machine Learning Intern
Flagship Pioneering
Machine Learning Intern
Flagship Pioneering
Venture capital building bioplatform companies
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, where teams pair 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 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.
The Experience:
You will collaborate with Flagship Origination Teams and fellow ML scientists/engineers to explore what is made possible by big leaps beyond the current capabilities of AI. You will begin 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 a reality. You will explore the tradeoffs across multiple options, including what and how much data is needed and where it might come from. You will work towards implementation and evaluation plans that enable us to address the real uncertainties, not just what is easy to measure.
With a project defined, you will begin to implement, evaluate and iterate. You will leverage Flagship's scalable GPU compute resources, data from our ecosystem, and the extensive expertise available across our teams. You will implement the benchmarking capabilities needed to measure what matters and evaluate your designs. We will learn along the way and be ready to pivot on methods. Final work products are never just a model or a paper, they are wholistic answers to the future backwards questions we ask ourselves when originating the next big leap company.
The pay range for this role is $7,000 - $9,000 per month. This role is a short-term engagement that is not eligible for health and welfare benefits. Compensation and benefits information is based on Flagship Pioneering's good faith estimate as of the date of publication and may be modified in the future.
Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, 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 including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact [email protected].
Pay Range: 7000.0 - 9000.0 USD
Venture capital building bioplatform companies
Flagship Pioneering funds and incubates life-sciences ventures by creating bioplatform companies, forming early-stage NewCos and helping them grow into GrowthCos. It identifies broad scientific platforms that can spawn multiple products and builds companies around those platforms to move them from inception to growth. The firm Differentiates itself by actively creating and guiding new platform-based ventures from scratch, rather than only investing in existing companies, building a diverse pipeline of category leaders. Its goal is to develop a portfolio of platform-based biotechnology and life-science companies that deliver multiple products and advance human health and sustainability.
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