About this opportunity
Metric Bio lists this Machine Learning Engineer – Biological Foundation Models opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
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 foundation models on trillion-token scale biological datasets to reimagine how we create cell therapies.
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.
Responsibilities:
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.
Requirements:
First-author publications in top-tier ML/biology journals.
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.
What We Offer:
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.
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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.