Research Engineer / Scientist Pre-training

AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.

Series F+Recently funded0 current maintainers0 active leads
San Francisco, United States
About Anthropic

Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will conduct research and implement solutions for model architecture, algorithms, data processing, and optimizers. You will lead experiments, improve training infrastructure and developer tooling, and contribute across the stack from low-level optimization to high-level model design.

Requirements

  • Advanced degree in Computer Science, Machine Learning, or a related field.
  • Strong software engineering skills and experience building complex systems.
  • Python expertise.
  • Experience with deep learning frameworks, preferably PyTorch.
  • Familiarity with large-scale machine learning and language models.
  • Ability to balance research goals with engineering constraints.
  • Problem-solving and communication skills.

Responsibilities

  • Research and implement model architecture, algorithm, data-processing, and optimizer solutions.
  • Lead small research projects and collaborate on larger initiatives.
  • Design, run, and analyze experiments for large language models.
  • Optimize and scale training infrastructure for efficiency and reliability.
  • Develop developer tooling to improve productivity.
  • Contribute from low-level optimization through high-level model design.

Benefits

  • Visa sponsorship
  • Optional equity donation matching
  • Generous vacation
  • Parental leave
  • Flexible working hours