Research Engineer
Core
Build datasets, tasks, and environments for evaluating and improving frontier AI models; analyze model failure modes and run experiments across frontier models.
Role type
Research Engineer (Biology & AI)
Builds
scalable data infrastructure and pipelines for curating, transforming, and validating scientific data
Domain
Biology + Frontier AI / LLMs
Deliverable
production ML models
Required skills
biology domain expertise, LLM development and evaluation, scientific data pipeline engineering, experimental design, model failure analysis, collaboration with scientists
Preferred skills
experience with frontier AI labs, translating expert judgment into evaluation criteria
Technologies
LLMs, scientific data pipelines
Responsibilities
Build datasets, tasks, and environments for evaluating and improving frontier AI models; Analyze model failure modes and run experiments across frontier models; Build scalable data infrastructure and pipelines for curating, transforming, and validating scientific data; Collaborate with frontier AI labs on approaches to improve models on challenging scientific tasks; Work with scientists to translate expert judgment into reliable problems and evaluation criteria
Seniority
Mid-level (2+ years experience)
