Research Engineer, Pretraining Scaling

Anthropic
San Francisco
Workplace: OnsiteFull timeUSD 350,000 - 850,000 annuallyFunction: Research & Scientific (R&D)Education: bachelorsSkills: ["Communication","Collaboration","Problem-solving"]

Research Engineer at the intersection of research and engineering on production pretrained model training. You will own parts of the production pretraining pipeline, optimize performance, debug across the stack, design experiments to improve efficiency and uptime, and contribute to monitoring and evaluation infrastructure while working with teams in SF and London.

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FursaFursa
Anthropic
Anthropic
11 months ago

Research Engineer, Pretraining Scaling

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Research Engineer at the intersection of research and engineering on production pretrained model training. You will own parts of the production pretraining pipeline, optimize performance, debug across the stack, design experiments to improve efficiency and uptime, and contribute to monitoring and evaluation infrastructure while working with teams in SF and London.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Own critical aspects of our 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.

Pay and Benefits

Salary: USD 350,000 - 850,000 annually
Perks:Paid LeaveParental LeaveEquity

Key Requirements

  • •Hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems.
  • •Enjoy both research and engineering work—with an approximate 50/50 split.
  • •Willingness to be on-call for production systems, including long hours during launches.
  • •Ability to debug complex, ambiguous problems across multiple layers of the stack.
  • •Clear and effective communication across time zones and teams.
Experience:LLMDistributed systemsLarge-scale ML training
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solving
Languages:English
Tech Stack:JAXTPUPyTorchDistributed systemsLarge-scale training

Company Brief

Anthropic
Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn