Machine Learning Engineer
Capable Labs, San Francisco
The role
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.
We believe excellent work should be met with meaningful reward, ownership, and trust. Responsibility is earned through contribution, not title alone: anyone who demonstrates the judgment, rigor, and follow-through to move important work forward can earn meaningful scope.
You will build machine-learning systems that remove real bottlenecks from drug discovery and development. The role spans research and engineering: identifying valuable problems, adapting modern biomolecular models, building tools for scientists, and closing the loop between model predictions and wet-lab results. Success is measured by whether the systems accelerate better experiments and better drug-development decisions.