Research Engineer, Pretraining

Anthropic
London
Workplace: OnsiteFull timeGBP 260,000 - 630,000 annuallyFunction: Research & Scientific (R&D)Education: mastersSkills: ["Communication","Collaboration","Problem-solving","Teamwork","Attention to detail"]

Research Engineer in the Pretraining group focused on developing the next generation of large language models. You will bridge research and engineering, exploring model architecture, data processing, optimizers, and training infrastructure while leading small projects, designing experiments, and contributing to end-to-end model design and tooling for scalable, reliable AI systems.

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Anthropic
Anthropic
6 months ago

Research Engineer, Pretraining

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Last checked: 2 hours agoStatus: Live

Job Summary

Research Engineer in the Pretraining group focused on developing the next generation of large language models. You will bridge research and engineering, exploring model architecture, data processing, optimizers, and training infrastructure while leading small projects, designing experiments, and contributing to end-to-end model design and tooling for scalable, reliable AI systems.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
  • •Independently lead small research projects while collaborating with team members on larger initiatives
  • •Design, run, and analyze scientific experiments to advance understanding of large language models
  • •Optimize and scale training infrastructure to improve efficiency and reliability
  • •Develop and improve dev tooling to enhance team productivity

Pay and Benefits

Salary: GBP 260,000 - 630,000 annually

Key Requirements

  • •Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field
  • •Strong software engineering skills with a proven track record of building complex systems
  • •Expertise in Python and experience with deep learning frameworks (PyTorch preferred)
  • •Familiarity with large-scale machine learning, particularly in the context of language models
  • •Ability to balance research goals with practical engineering constraints
Experience:Artificial intelligenceMachine learningResearch
Education:Master's
Skills:CommunicationCollaborationProblem-solvingTeamworkAttention to detail
Languages:English
Tech Stack:PythonPyTorchGPUsKubernetesOS internals

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