RL Systems Engineer — Accelerate ML Research

Anthropic Limited; City Of London; Hybrid; GBP 370,000 - 630,000; Full time

Job summary

Anthropic is seeking a Research Engineer for the RL Velocity team to build and improve the core platform behind RL research, accelerating experiments and model iterations. You will contribute to a system that lets researchers iterate quickly on training runs and ensure infrastructure is reliable at scale.

In this role you will collaborate with researchers and adjacent engineering teams to identify bottlenecks, own end-to-end reliability, and influence design decisions that enable faster, more

Qualifications

• Bachelor’s degree in a relevant field.
• Experience building scalable ML infrastructure.
• Strong collaboration and communication in a research setting.

Responsibilities

• Build and improve RL training infrastructure used daily by researchers.
• Identify and remove bottlenecks across the RL stack.
• Collaborate with researchers and other engineering teams to ship tooling.
• Own the reliability and performance of research runs end-to-end.
• Contribute to design decisions shaping RL at scale.

Skills

Software engineering

ML infrastructure

Distributed systems

Research tooling

Performance optimization

Education

Bachelor’s degree in a relevant field

Tools

JAX

PyTorch

Python

Job description

Anthropic is seeking a Research Engineer for the RL Velocity team to build and improve the core platform behind RL research, accelerating experiments and model iterations. You will contribute to a system that lets researchers iterate quickly on training runs and ensure infrastructure is reliable at scale.

In this role you will collaborate with researchers and adjacent engineering teams to identify bottlenecks, own end-to-end reliability, and influence design decisions that enable faster, more