At a Glance
- Tasks: Own and enhance the RL training infrastructure for cutting-edge research.
- Company: Join Anthropic, a leader in AI research and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a real impact on machine learning and collaborate with top researchers.
- Qualifications: Experience in machine learning and strong problem-solving skills.
The predicted salary is between 60000 - 72000 £ per year.
Anthropic is seeking a Research Engineer, Machine Learning (RL Velocity) in London to own and improve the RL training infrastructure used by researchers day-to-day. You will work on core platform components that speed up experiments, reduce runtime variability, and help scale RL workflows across teams.
Collaborating with researchers and adjacent engineering groups (inference, sandboxing, and tooling), you will diagnose bottlenecks, implement robust solutions, and shape how Anthropic does RL.
Research Engineer, ML Infrastructure for RL Systems in London employer: Anthropic Limited
At Anthropic, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make meaningful contributions in the field of machine learning. As a Research Engineer in London, you will have access to cutting-edge resources and opportunities for professional growth, all while working alongside passionate experts dedicated to advancing RL systems. Our commitment to employee well-being and development makes Anthropic an exceptional place to build a rewarding career.
