Pretraining Research Engineer — Scale LLMs & Safe AI

Anthropic Limited; Greater London; Hybrid; GBP 260,000 - 630,000; Full time

Job summary

Anthropic Limited in the United Kingdom is seeking a Research Engineer to join the Pretraining team, contributing to the next generation of large language models. You will bridge research and engineering, shaping safe and steerable AI systems.

The role emphasizes scalable training infrastructure, model architectures, and tooling, with collaboration across researchers and engineers. A strong MS/PhD in CS/ML and expertise in Python and PyTorch are highly valued, along with a commitment to safe AI.

Qualifications

• 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).

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

Skills

Software engineering

Python

DL frameworks

Large-scale ML

Research-Engineering balance

Communication

Societal impacts awareness

Education

MS or PhD in Computer Science / Machine Learning or related field

Tools

PyTorch

Kubernetes

Job description

Anthropic Limited in the United Kingdom is seeking a Research Engineer to join the Pretraining team, contributing to the next generation of large language models. You will bridge research and engineering, shaping safe and steerable AI systems.

The role emphasizes scalable training infrastructure, model architectures, and tooling, with collaboration across researchers and engineers. A strong MS/PhD in CS/ML and expertise in Python and PyTorch are highly valued, along with a commitment to safe AI.