Build and productionize end-to-end AI agents that automate scientific workflows, including experiment design, data capture, analysis, and reporting. Partner directly with customers to identify use cases, gather feedback, develop evaluations, and onboard scientific teams. Work across backend and frontend systems, improve agent infrastructure, and shape Benchling’s AI engineering practices and product direction.

Build datasets, evaluations, and scalable data infrastructure to improve frontier AI models for scientific and biological applications. Analyze model failure modes, run experiments, translate scientific expertise into rigorous evaluation criteria, and collaborate with scientists and AI labs. The role requires working at the intersection of software engineering, biology, and frontier AI in an in-person, fast-paced San Francisco environment.