Research Engineer, Model Evaluation and Improvement

We’re a team focused on making frontier AI models better at science. LLMs know an extraordinary amount of biology, but there’s still a large gap in reasoning for the real-world problems scientists face every day. We recently published some of our work here.

You’ll build the datasets, evaluations, and systems that help close that gap. You’ll work with scientists to turn complex scientific work into rigorous tasks that models can learn from and be evaluated against. You’ll partner with leading AI labs to understand where models fail and how to improve them.

This is an early and rapidly evolving area. You’ll work at the intersection of software engineering, biology, and frontier AI: finding tasks that are challenging for LLMs and valuable to scientists, designing evaluations that capture real scientific judgment, and building systems to create these tasks at scale.

This is an in-person team in San Francisco built around collaborating in the office in a fast-paced environment. We’re in the office Monday through Friday. #LI-KW1

Benchling welcomes everyone.

We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.