Research Engineer: Scalable Production ML Systems

Anthropic; Greater London; On-site; GBP 260,000 - 630,000; Full time

Job summary

Anthropic is seeking a Research Engineer for their ML Performance and Scaling team in London. This high-impact role focuses on training advanced AI models, performance optimization, and solving complex issues in production systems. The ideal candidate will have strong experience with ML frameworks like JAX and PyTorch. The annual salary ranges from £260,000 to £630,000. Work is on-site five days a week and offers excellent opportunities for growth in a cutting-edge field.

Qualifications

• Experience with large language models or ML frameworks is required.
• Enjoy both research and engineering work equally.
• Ability to troubleshoot issues in a multi-layered stack.

Responsibilities

• Own aspects of the pretraining pipeline for model operations.
• Debug complex technical issues across the production stack.
• Design experiments to improve model training efficiency.

Skills

Hands-on experience training large language models

Expertise with JAX

Experience with TPU

Familiarity with PyTorch

Large-scale distributed systems

Education

Bachelor’s degree or equivalent

Tools

TPU

PyTorch

JAX

Job description

Anthropic is seeking a Research Engineer for their ML Performance and Scaling team in London. This high-impact role focuses on training advanced AI models, performance optimization, and solving complex issues in production systems. The ideal candidate will have strong experience with ML frameworks like JAX and PyTorch. The annual salary ranges from £260,000 to £630,000. Work is on-site five days a week and offers excellent opportunities for growth in a cutting-edge field.