RL Scaling Engineer — Benchmarks, Production Recipes

Anthropic; Greater London; Hybrid; GBP 375,000 - 640,000; Full time

Benefits offered by this job

Competitive compensation

Generous vacation and parental leave

Flexible working hours

Collaborative office space

Job summary

Anthropic is seeking a Research Engineer to join their RL Scaling Science team in Greater London. You will focus on designing and running large-scale experiments to enhance understanding and application of Reinforcement Learning.

The ideal candidate has strong empirical skills and proficiency in Python, alongside experience with large-scale ML systems. A Bachelor's degree or equivalent is required. The role offers a competitive salary between £375,000 and £640,000 GBP.

Qualifications

• Strong empirical research skills in Reinforcement Learning or large-scale ML training.
• Ability to own large experiments end-to-end.
• Comfort operating at the research/systems boundary.

Responsibilities

• Design, run, and interpret large-scale RL experiments.
• Investigate how RL improves as horizon, compute, and model size grow.
• Build and maintain benchmarks for long-horizon RL.

Skills

Empirical research skills in Reinforcement Learning

Proficiency in Python

Experience with large-scale ML systems

Debugging skills at research/systems boundary

Education

Bachelor’s degree or equivalent

Job description

Anthropic is seeking a Research Engineer to join their RL Scaling Science team in Greater London. You will focus on designing and running large-scale experiments to enhance understanding and application of Reinforcement Learning.

The ideal candidate has strong empirical skills and proficiency in Python, alongside experience with large-scale ML systems. A Bachelor's degree or equivalent is required. The role offers a competitive salary between £375,000 and £640,000 GBP.