Pre-Training Research Engineer — Hybrid, Impactful AI

Anthropic Limited; San Francisco (CA); On-site; USD 500,000 - 850,000; Full time

Job summary

Anthropic Limited in San Francisco is seeking a Research Engineer to join the Pre-training team. You will work at the intersection of research and engineering to develop the next generation of large language models, focusing on safety, steerability, and reliability.

You will lead small projects, design experiments, optimize training infrastructure, and contribute to tooling and system design, collaborating across teams to ship robust AI systems that align with human values.

Qualifications

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, or related field.
• Strong software engineering experience building complex systems.
• Experience with Python and PyTorch for DL.
• Experience with large-scale language models.

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

Python

Deep learning

Research collaboration

Communication skills

Problem solving

Engineering skills

Societal impact awareness

Education

MS or PhD in Computer Science / Machine Learning

Tools

PyTorch

Kubernetes

GPU familiarity

Large-scale ML systems

Job description

Anthropic Limited in San Francisco is seeking a Research Engineer to join the Pre-training team. You will work at the intersection of research and engineering to develop the next generation of large language models, focusing on safety, steerability, and reliability.

You will lead small projects, design experiments, optimize training infrastructure, and contribute to tooling and system design, collaborating across teams to ship robust AI systems that align with human values.