Skip to content
← Anthropic

Research Engineer, Pretraining

Anthropic · London, UK

CHECKED 4H AGO

Frontier labonsite$344k–$834k
Apply on the lab’s site ↗

At a glance

Highlights

  • Develop next-generation large language models that are safe and trustworthy.
  • Design and analyze scientific experiments to advance large model understanding.
  • Scale training infrastructure and improve efficiency and reliability.

What they offer

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space for collaboration

Ideal candidate

A collaborative software engineer excited to bridge research and engineering on large-scale AI. You are results-oriented, flexible, and deeply motivated by building safe, steerable systems that benefit society.

Requirements

  • Advanced degree (MS or PhD) in Computer Science, Machine Learning, or related field
  • Strong software engineering skills with track record building complex systems
  • Expertise in Python and deep learning frameworks (PyTorch preferred)
  • Familiarity with large-scale machine learning, particularly language models
  • Ability to balance research goals with practical engineering constraints
  • Strong problem-solving skills and results-oriented mindset
  • Excellent communication skills and ability to work collaboratively
  • Care about societal impacts of work
remote policy
Hybrid - in office at least 25% of the time
visa sponsorship
Visa sponsorship available, but not guaranteed for every role and candidate

Lab profile

About Anthropic

AI safety company building reliable, interpretable and steerable frontier AI systems.

What they build

  • Claude
  • Claude API
  • Claude Code

Known for

  • AI safety and alignment
  • Model interpretability research
  • Frontier LLM development

Key facts

  • Founded in 2021
  • Headquartered in San Francisco, California
  • Backed by Amazon and Google
More about Anthropic →
Apply on the lab’s site ↗