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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
Strong problem-solving skills and a results-oriented mindset
Excellent communication skills and ability to work in a collaborative environment
Care about the societal impacts of your work
Work on high-performance, large-scale ML systems
Familiarity with GPUs, Kubernetes, and OS internals
Experience with language modeling using transformer architectures
Knowledge of reinforcement learning techniques
Background in large-scale ETL processes
Conduct research and implement solutions in various areas
Independently lead small research projects while collaborating with team members
Design, run, and analyze scientific experiments related to large language models
Optimize and scale training infrastructure
Develop and improve dev tooling to enhance team productivity
Contribute to the entire stack, from low-level optimizations to high-level model design
Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Lovely office space in which to collaborate with colleagues
London, UK
Why we track Anthropic
Anthropic is an AI safety company building Claude, one of the most capable large language models. They have engineering teams in London, Dublin, and Zurich working on core model development, infrastructure, and safety research. One of the highest-paying companies in AI.
Research Engineer, RL Scaling Science
London, UK
Staff Machine Learning Engineer, ML Efficiency
UK (Remote)