f49203e0-6c6 Research Engineer, Science of Scaling We are seeking a Research Engineer/Scientist to join the Science of Scaling team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

Responsibilities:

  • Conduct research into the science of converting compute into intelligence
  • Independently lead small research projects while collaborating with team members on larger initiatives
  • Design, run, and analyze scientific experiments to advance our understanding of large language models
  • Optimize training infrastructure to improve efficiency and reliability
  • Develop dev tooling to enhance team productivity

You may be a good fit if you:

  • Have significant software engineering experience and a proven track record of building complex systems
  • Hold an advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field
  • Are proficient in Python and experienced with deep learning frameworks
  • Are results-oriented with a bias towards flexibility and impact
  • Enjoy pair programming and collaborative work, and are 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 program to maximize impact
  • Care about the societal impacts of your work and have ambitious goals for AI safety and general progress

Strong candidates may have:

  • Experience with JAX
  • Experience with reinforcement learning
  • Experience working on high-performance, large-scale ML systems
  • Familiarity with accelerators, Kubernetes, and OS internals
  • Experience with language modeling using transformer architectures
  • Background in large-scale ETL processes
  • Experience with distributed training at scale (thousands of accelerators)

Strong candidates need not have:

  • Experience in all of the above areas , we value breadth of interest and willingness to learn over checking every box
  • Prior work specifically on language models or transformers; strong engineering fundamentals and ML knowledge transfer well
  • An advanced degree , exceptional engineers with strong research instincts are equally encouraged to apply

The annual compensation range for this role is £260,000-£630,000 GBP.

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]]> full-time senior hybrid £260,000-£630,000 GBP Python, Deep learning frameworks, Software engineering, Machine learning, Advanced degree in Computer Science or related field, JAX, Reinforcement learning, High-performance, large-scale ML systems, Accelerators, Kubernetes, OS internals, Language modeling using transformer architectures, Large-scale ETL processes, Distributed training at scale Engineering Technology Anthropic https://logos.yubhub.co/anthropic.com.png Anthropic is a public benefit corporation that creates reliable, interpretable, and steerable AI systems. https://www.anthropic.com/ https://job-boards.greenhouse.io/anthropic/jobs/5126127008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply London, UK 2026-04-18