Pre-Training Research Engineer, LLMs & Safe AI

Anthropic Limited; New York (NY); Hybrid; USD 500,000 - 850,000; Full time

Job summary

Anthropic is seeking a Research Engineer to join our Pre-training team, developing the next generation of large language models at scale. You will bridge research ideas and engineering, designing experiments and building reliable training pipelines. Ideal candidates hold an advanced degree, excel in Python and PyTorch, and can balance rigorous research with pragmatic engineering.

You will collaborate across disciplines to advance steerable, safe AI. Location is flexible within the U.S.

Qualifications

• Advanced degree required (MS or PhD) in Computer Science, ML, or related field.
• Strong software engineering background with experience building complex systems.
• Expertise in Python and deep learning frameworks, preferably PyTorch.
• Experience with large-scale ML, language models, and systems.
• Ability to balance research goals with engineering constraints.
• Strong problem-solving and communication skills.

Responsibilities

• Conduct research and implement solutions in model architecture, algorithms, data processing, and optimizer development.
• Independently lead small research projects and collaborate on larger initiatives.
• Design, run, and analyze experiments related to large language models.
• Optimize and scale training infrastructure for efficiency and reliability.
• Develop and improve dev tooling to boost team productivity.
• Contribute to the full stack from low-level optimizations to high-level model design.

Skills

Software engineering

Python

Deep learning

Communication

Collaborative work

Research-minded

Education

Advanced degree (MS/PhD) in CS/ML

Tools

PyTorch

Kubernetes

GPUs

OS internals

Job description

Anthropic is seeking a Research Engineer to join our Pre-training team, developing the next generation of large language models at scale. You will bridge research ideas and engineering, designing experiments and building reliable training pipelines. Ideal candidates hold an advanced degree, excel in Python and PyTorch, and can balance rigorous research with pragmatic engineering.

You will collaborate across disciplines to advance steerable, safe AI. Location is flexible within the U.S.