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Machine Learning Engineer - Biological Foundation Models

Machine Learning Engineer - Biological Foundation Models

Metric BioBoston, MA, US
10 hours ago
Job type
  • Full-time
Job description

Job Description

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, they’re 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 doesn’t 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 You’ll 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 We’re Looking For

  • First-author publications in top-tier ML / biology journals ( NeurIPS, ICML, Nature, Cell, Genome Biology , etc.).
  • 6+ years of experience in ML, deep learning, or foundation models (academic or industry).
  • Proven expertise with transformers, diffusion, or generative models .
  • Strong Python + PyTorch / TensorFlow engineering skills; ability to move from research prototype → production.
  • Background in single-cell or omics data is ideal, but ML-first innovators who can quickly learn the biology are very welcome .
  • Track record of innovation : new methods, impactful papers, or deployed ML systems.

    • Why This Role

  • Technical leadership opportunity at a mission-driven company that has recently secured over $50M in funding .
  • Work alongside top talent at the cutting edge of AI x biology .
  • Chance to impact millions of lives by redefining how cell therapies are developed .
  • Competitive compensation and benefits, with an emphasis on urgency, collaboration, and innovation.

    • If you’re a first-author, builder, and innovator looking to work on foundation-scale biology, this is one of the rarest opportunities you’ll see.

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    Machine Learning Engineer • Boston, MA, US