Research Engineer, Life Sciences

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.

We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team aims to accelerate progress in the life sciences by developing novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology.

In this role, you'll work at the intersection of cutting-edge AI and biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate with world-class researchers and engineers to build AI systems that can engage in all phases of research and development while maintaining our commitment to safety and beneficial impact.

Minimum 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
• Comfortable 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

Preferred Qualifications

• 8+ years of machine learning experience
• Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, computational biology, or related fields)
• 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 (e.g., Docker, Kubernetes) and cloud deployment at scale
• Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing
• Contributions to open-source scientific software or databases

The annual compensation range for this role is $350,000-$500,000 USD.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas and will make every reasonable effort to get you a visa if offered the role.