Pretraining Research Engineer: Scalable LLMs

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

Job summary

Anthropic Limited is seeking a Research Engineer to join our Pretraining team. You will work at the intersection of cutting-edge research and engineering to develop the next generation of large language models.

The role involves leading small projects, designing experiments, and optimizing training infrastructure while collaborating across a multidisciplinary team. We value safety, steerability, and societal impact in our AI systems.

Qualifications

• Advanced degree (MS or PhD) in CS, ML, or related field.
• Strong software engineering skills with proven track record of building complex systems.
• Expertise in Python and PyTorch.
• Familiarity with large-scale machine learning, especially language models.
• Ability to balance research goals with engineering constraints.
• Strong problem-solving skills and results-oriented mindset.
• Excellent communication skills and collaborative mindset.
• Care about societal impacts of your work.

Responsibilities

• Conduct research and implement solutions in 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 understanding of large language models.
• Optimize and scale 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

Communication

Collaboration

Research mindset

Problem solving

Societal impact

Education

Bachelor's degree or higher in CS/ML

Tools

Python

PyTorch

Kubernetes

GPUs

Job description

Anthropic Limited is seeking a Research Engineer to join our Pretraining team. You will work at the intersection of cutting-edge research and engineering to develop the next generation of large language models.

The role involves leading small projects, designing experiments, and optimizing training infrastructure while collaborating across a multidisciplinary team. We value safety, steerability, and societal impact in our AI systems.