Research Engineer, Science of Scaling

• Work at the intersection of cutting-edge research and practical engineering on the Science of Scaling team, contributing to the development of the next generation of large language models. • Conduct research into the science of converting compute into intelligence, contributing across the entire stack from low-level optimisations to high-level algorithm and experimental design. • Independently lead small research projects and collaborate with team members on larger initiatives, designing, running, and analysing scientific experiments to advance understanding of LLMs. • Optimise training infrastructure to improve efficiency and reliability, and develop dev tooling to enhance team productivity. • Be based at least 25% of the time in Anthropic's London office.

• Have significant software engineering experience with a proven track record of building complex systems. • Be proficient in Python and experienced with deep learning frameworks. • Be results-oriented with a bias towards flexibility and impact. • Enjoy pair programming and collaborative work, and be willing to take on tasks outside your job description to support the team. • View research and engineering as two sides of the same coin, seeking to understand all aspects of the research programme to maximise impact. • Care about the societal impacts of your work and have ambitious goals for AI safety and general progress.

• Hold an advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field. • Have experience with JAX. • Have experience with reinforcement learning. • Have experience working on high-performance, large-scale ML systems. • Have familiarity with accelerators, Kubernetes, and OS internals. • Have experience with language modelling using transformer architectures. • Have experience with distributed training at scale across thousands of accelerators.

• Conduct research into the science of converting compute into intelligence. • Independently lead small research projects while collaborating on larger initiatives. • Design, run, and analyse scientific experiments to advance understanding of large language models. • Optimise training infrastructure to improve efficiency and reliability. • Develop dev tooling to enhance team productivity. • Balance research goals with practical engineering constraints across the full stack.

• Earn £260,000–£630,000 per year. • Receive visa sponsorship — Anthropic retains an immigration lawyer and makes every reasonable effort to support visa applications. • Access optional equity donation matching, generous vacation and parental leave, and flexible working hours. • Work on some of the most important and high-leverage research problems in AI at one of the world's leading AI safety organisations.

Anthropic is a public benefit corporation headquartered in San Francisco, with a mission to create reliable, interpretable, and steerable AI systems. The Science of Scaling team is responsible for developing the next generation of large language models, working at the intersection of research and engineering to advance safe, steerable, and trustworthy AI systems. The London team contributes to this effort alongside the broader Anthropic research organisation.