Research Engineer, Production-Scale Pretraining

Anthropic; California (MO); On-site; USD 350,000 - 850,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation & parental leave

Flexible working hours

Office space

Job summary

Anthropic is seeking a Research Engineer for its ML Performance and Scaling team in San Francisco. You will help train production pretrained models, optimize performance, and ensure reliable, scalable operations across the full training stack.

You will work at the intersection of research and engineering, tackling incidents during launches and designing experiments to improve efficiency, uptime, and model quality.

Qualifications

• Hands-on experience training large language models with modern ML stacks.
• Experience with production ML systems, observability, and deployment pipelines.
• Ability to work across research and engineering and communicate clearly.

Responsibilities

• Own critical aspects of the production pretraining pipeline, including model operations, performance optimization, observability, and reliability.
• Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure.
• Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance.
• Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams.
• Build and maintain production logging, monitoring dashboards, and evaluation infrastructure.
• Add new capabilities to the training codebase, such as long context support or novel architectures.
• Collaborate across SF and London teams, as well as with Tokens, Architectures, and Systems teams.
• Document systems, debugging approaches, and lessons learned.

Skills

LLM training

JAX/TPU

PyTorch

Distributed systems

Education

Bachelor’s degree in a relevant field

Tools

JAX

PyTorch

TPU

Distributed training

Job description

Anthropic is seeking a Research Engineer for its ML Performance and Scaling team in San Francisco. You will help train production pretrained models, optimize performance, and ensure reliable, scalable operations across the full training stack.

You will work at the intersection of research and engineering, tackling incidents during launches and designing experiments to improve efficiency, uptime, and model quality.