Research Engineer, Pretraining
Anthropic · London, UK
CHECKED 4H AGO
Frontier labonsite$344k–$834k
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