Machine Learning Engineer

Build machine-learning systems to remove bottlenecks in drug discovery and development. The role involves adapting biomolecular models, developing candidate-analysis workflows, and automating preclinical or clinical-development processes to accelerate experimental throughput and decision quality.

We are a vibrant and intensely mission-driven team in San Francisco, comprising members from MIT, Harvard Medical School, Roche, ETH, and Dana-Farber.

We value speed and rigor, coupled with excitement, drive, and a strong work ethic. In an early-stage environment, we value people who can bring clarity to open-ended problems, take ownership of the next steps, and follow through with energy.

Capable Labs is a place for ambitious, high-integrity people who want to become dramatically better. You will be surrounded by people who care intensely about the work, get close feedback from the people making scientific and company-defining decisions, and have room to own increasingly important problems.