ML Engineer

We offer opportunities to do your life’s work while helping solve one of the most important technical and moral challenges of our time.

Full-time, in-office in Emeryville, California. Compensation includes equity.

Build the reliable systems that carry our data from an assay recording to a reproducible model, an evaluated prediction, and a usable recommendation for the next experiment.

Key Responsibilities

• Own pipelines for ingesting, validating, versioning, and joining assay videos, metadata, compound records, model features, and experimental outcomes

• Build reproducible training and evaluation infrastructure with clear data lineage, model versioning, automated tests, and auditable outputs

• Turn research prototypes into dependable batch and online systems that can rank compounds and surface recommendations through our tools

• Monitor data quality, distribution shift, calibration, latency, cost, and failures as the number of labs and assays grows

• Design interfaces between computer vision, molecular models, active-learning systems, and the lab workflow

• Improve developer and researcher velocity without weakening scientific reproducibility or access controls