Production ML Engineer — Scale & Train LLMs

Anthropic; San Francisco (CA); On-site; USD 350,000 - 850,000; Full time

Benefits offered by this job

Generous vacation and parental leave

Flexible working hours

Office space for collaboration

Job summary

Anthropic is looking for a Research Engineer in San Francisco to work with the ML Performance and Scaling team. The role involves critical management of pretraining pipelines and collaboration across teams, with a strong emphasis on operational excellence and debugging complex ML systems.

Successful candidates will have a passion for large-scale ML models and be excited about the responsibilities that come with maintaining production ML systems. Compensation ranges from $350,000 to $850,000 USD, alongside competitive benefits.

Qualifications

• Hands-on experience training large language models.
• Experience with complex debugging across multiple systems.
• Strong communication and collaboration skills.

Responsibilities

• Own critical aspects of the pretraining pipeline.
• Debug complex issues across stacks.
• Design and run experiments to improve efficiency.
• Respond to on-call incidents during model launches.
• Build and maintain production dashboards and logging.

Skills

Experience with JAX

Experience with TPU

Expertise in large-scale ML systems

Debugging complex problems

Collaboration across time zones

Tools

PyTorch

ML frameworks

Job description

Anthropic is looking for a Research Engineer in San Francisco to work with the ML Performance and Scaling team. The role involves critical management of pretraining pipelines and collaboration across teams, with a strong emphasis on operational excellence and debugging complex ML systems.

Successful candidates will have a passion for large-scale ML models and be excited about the responsibilities that come with maintaining production ML systems. Compensation ranges from $350,000 to $850,000 USD, alongside competitive benefits.