Research Engineer - Safe, Steerable LLMs (Pre-training)

Anthropic; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Anthropic is seeking a Research Engineer to join the Pre‑training team and help develop the next generation of large language models. You will work at the intersection of inventive research and practical engineering to create safe, steerable AI systems.

The role involves leading small research projects, designing experiments, and scaling training infrastructure. Collaboration across teams and a strong emphasis on responsible AI practice are expected.

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).
• 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.

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

Strong software engineering

Python

PyTorch

Large‑scale ML

Research mindset

Problem solving

Communication

Collaboration

Societal impact awareness

Education

MS/PhD in Computer Science, ML or related field

Tools

PyTorch

Kubernetes

Job description

Anthropic is seeking a Research Engineer to join the Pre‑training team and help develop the next generation of large language models. You will work at the intersection of inventive research and practical engineering to create safe, steerable AI systems.

The role involves leading small research projects, designing experiments, and scaling training infrastructure. Collaboration across teams and a strong emphasis on responsible AI practice are expected.