Research Engineer, Life Sciences
Anthropic· AI Research & Engineering
Hybrid (San Francisco, CA)$350k - $500kfull-timePosted 3mo ago
About the role
Research Engineer role on Anthropic's Life Sciences team, combining machine learning engineering with evaluation frameworks and training strategies to push AI capabilities in biology, across the model stack while ensuring safety and beneficial impact.
Responsibilities
- Develop novel evaluation frameworks and training strategies to push the frontier of AI in biology
- Work at the intersection of AI and biological sciences to measure and improve model performance on complex scientific tasks
- Collaborate with researchers and engineers to build AI systems supporting research and development across all phases
- Operate in rapidly evolving research environments, navigating ambiguity to develop solutions
Qualifications
- Demonstrated experience training and evaluating large language models
- Proficiency in Python and familiarity with modern ML development practices
- Experience building and managing data pipelines for large-scale datasets
- Comfort navigating ambiguity and developing solutions in rapidly evolving research environments
- Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams
Skills
Required:Large language modelsPython
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration
Last updated Jul 8, 2026. Interested? Apply on the company site.
About Anthropic
building reliable, interpretable, and steerable AI systems
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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