Machine Learning Engineer Biological Foundation Models (Boston)

Machine Learning Engineer Biological Foundation Models

Metric Bio has partnered with a venture-backed biotech at the intersection of AI and cell biology . This team is building what many are calling the OpenAI of stem cell biology, developing foundation models on trillion-token scale biological datasets to reimagine how we create cell therapies. Backed by world-class investors and scientific founders from top institutions, theyre now looking to bring in the top 5% ML innovators in the industry and are willing to be competitive for it.

This is a role for someone who doesnt just apply existing methods but creates new ones; first-author researchers, system builders, and innovators who want their work to drive real therapeutic impact.

What Youll Do

• Design and optimize foundation models for single-cell and multi-omics data, leveraging transformer and generative architectures.
• Build scalable distributed pipelines (multi-GPU training, trillion-token inference) to push biology into true foundation-scale.
• Collaborate closely with computational biologists and wet-lab teams , ensuring models produce interpretable, biologically meaningful outputs.
• Prototype and deploy novel architectures tailored to biological data, with the freedom to shape strategy and direction.

What Were Looking For

Why This Role

If youre a first-author, builder, and innovator looking to work on foundation-scale biology, this is one of the rarest opportunities youll see.