Research Engineer Life Sciences
AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.
Maintainer signals as of 9/24/2026
Funding history
About Anthropic
Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop evaluation frameworks and training strategies for AI systems used in biology. You will measure and improve model performance on complex scientific tasks, build and manage large-scale data pipelines, and apply machine learning engineering to scientific AI applications.
Requirements
- Experience training and evaluating large language models
- Proficiency in Python
- Familiarity with modern machine learning development practices
- Experience building and managing data pipelines for large-scale datasets
- Strong written and verbal communication skills
Responsibilities
- Develop novel evaluation frameworks and training strategies for AI in biology
- Measure and improve model performance on complex scientific tasks
- Build and manage data pipelines for large-scale datasets
Benefits
- Visa sponsorship
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours