Research Engineer, Life Sciences

About the role

We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology. You'll work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate closely 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.

Responsibilities

• Combine deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology.
• Work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks.
• Collaborate closely 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.

Requirements

• 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

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
• Knowledge of containerization technologies (e.g., Docker, Kubernetes) and cloud deployment at scale
• Contributions to open-source scientific software or databases

Skills

• Deep expertise in machine learning engineering
• Experience in life sciences is welcome, but not required for this role

Benefits

• The annual compensation range for this role is $350,000—$500,000 USD
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Pay

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

Schedule

Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.