Research Engineer, Life Sciences

Details

Anthropic is seeking a Research Engineer to join its Life Sciences team and help accelerate progress in the life sciences from early discovery through translation. The role focuses on applying machine learning engineering to develop novel evaluation frameworks and training strategies for AI systems in biology.

The successful candidate will work at the intersection of artificial intelligence and biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. They will collaborate with researchers and engineers to build AI systems supporting all phases of research and development while maintaining a focus on safety and beneficial impact. Previous life sciences experience is welcome but not required.

Responsibilities

• Develop evaluation frameworks and training strategies for AI systems used in biology and life sciences.
• Train and evaluate large language models.
• Build and manage data pipelines for large-scale datasets.
• Develop solutions in rapidly evolving and ambiguous research environments.
• Collaborate across research, engineering, and other cross-functional teams.

Requirements

• Demonstrated experience training and evaluating large language models.
• Proficiency in Python and familiarity with modern machine learning development practices.
• Experience building and managing data pipelines for large-scale datasets.
• Ability to navigate ambiguity and work independently while collaborating effectively.
• Strong written and verbal communication skills.
• Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field.

Preferred Qualifications

• 8+ years of machine learning experience.
• Experience in AI and biology, including graduate studies in molecular biology, biochemistry, computational biology, or a related field.
• Experience working with large-scale biological datasets.
• Published research or practical experience in scientific AI applications or long-horizon reasoning.
• Background in reinforcement learning and/or pretraining.
• Knowledge of containerization technologies such as Docker and Kubernetes, and cloud deployment at scale.
• Ability to work across language modeling, systems engineering, and scientific computing.
• Contributions to open-source scientific software or databases.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office environment for collaboration. Anthropic currently expects staff to work from one of its offices at least 25% of the time. The company sponsors visas for eligible roles and candidates and provides access to an immigration lawyer.