RL Platform Engineer for Scalable ML

Anthropic; Greater London; On-site; GBP 370,000 - 630,000; Full time

Job summary

Anthropic is seeking a Research Engineer for the RL Velocity team in Greater London. You will enhance the RL Science stack by building robust training infrastructure and addressing bottlenecks. The background required includes strong software engineering skills, familiarity with ML infrastructure, and the capability to work on both low-level performance and RL algorithms. The role offers a competitive salary between £370,000 and £630,000 GBP per annum, reflective of your skills and experience.

Qualifications

• Strong software engineering fundamentals with a track record of building performant systems.
• Experience with ML infrastructure, distributed systems, and research tooling.
• Ability to leverage platforms over individual experiments.

Responsibilities

• Build and improve the RL training infrastructure for researchers.
• Identify and remove bottlenecks in the RL stack.
• Partner with researchers and engineering teams to enhance tooling.
• Own reliability and performance of research runs.
• Contribute to design decisions for RL at scale.

Skills

Software engineering fundamentals

Performance and reliability systems

ML infrastructure

Distributed systems

Research tooling

Low-level performance work

RL algorithms

Fast iteration and shipping

Education

Bachelor’s degree or equivalent

Tools

JAX

PyTorch

Job description

Anthropic is seeking a Research Engineer for the RL Velocity team in Greater London. You will enhance the RL Science stack by building robust training infrastructure and addressing bottlenecks. The background required includes strong software engineering skills, familiarity with ML infrastructure, and the capability to work on both low-level performance and RL algorithms. The role offers a competitive salary between £370,000 and £630,000 GBP per annum, reflective of your skills and experience.