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Co-Op, LS AI, ML Scientist for Protein Engineering

San Francisco, CA💼 Full-time🗓 2026-06-29 → 2026-07-31

Core

Building machine learning systems that reason over biological data to design better biomolecules, specifically focusing on protein engineering and antibody design.

Role type

ML Scientist Co-Op (Research)

Builds

ML research projects for protein engineering, antibody design, and generative protein design.

Domain

Life Sciences / AI for Science / Protein Engineering

Deliverable

research

Required skills

Python programming, PyTorch or JAX, machine learning research, computational biology, handling biological sequence and structure datasets

Preferred skills

protein language models, structure prediction, diffusion or flow-based models, active learning workflows

Responsibilities

Contribute to ML research on protein engineering and antibody design; explore generative and predictive modeling approaches; translate biological design goals into computational problems; analyze biological and experimental datasets; prototype workflows connecting model predictions to wet-lab feedback.

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