Research Engineer, Pretraining at Anthropic

Hybrid - London, UK

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Anthropic is seeking a Research Engineer to join its Pretraining team in London, UK. The role focuses on advancing large language models through research, experiment design, and engineering. Candidates should hold an advanced degree, possess strong software engineering skills, and be proficient in Python and PyTorch, with experience in large-scale ML systems and related technologies.

Salary

GBP 260,000 - 630,000

Requirements

Skills

  • 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

Responsibilities

  • Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
  • 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 and scale our training infrastructure to improve efficiency and reliability
  • Develop and improve dev tooling to enhance team productivity
  • Contribute to the entire stack, from low-level optimizations to high-level model design

Technologies

PythonPyTorchlarge-scale machine learningGPUsKubernetesOS internalstransformer architecturesreinforcement learningETL processes

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