Research Engineer / Scientist, Pre-training

Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY · AI Research & Engineering · listed November 2, 2026

The shape of it

Seniority
Not stated
Where
Hybrid
Stated pay
$500,000 – $850,000 USD
Requirements listed
8
Length
1,497 words

In the posting’s own words

View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights

What it asks for · 8

  • 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

Also a plus

  • Work on high-performance, large-scale ML systems
  • Familiarity with GPUs, Kubernetes, and OS internals
  • Experience with language modeling using transformer architectures
  • Knowledge of reinforcement learning techniques
  • Background in large-scale ETL processes

What the job covers

  • 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
  • Have significant software engineering experience
  • Are results-oriented with a bias towards flexibility and impact
  • Willingly take on tasks outside your job description to support the team
  • Enjoy pair programming and collaborative work
  • Are eager to learn more about machine learning research
  • Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects

Degree language

  • Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field

Tools and skills named

Models & research
  • Machine learning8×
  • GPU4×
  • LLM3×
  • Deep learning2×
  • PyTorch2×
  • Reinforcement learning2×
Cloud & infra
  • Kubernetes2×
Data
  • ETL2×
Languages
  • Python2×

Words the posting leans on

  • research19×
  • models17×
  • large-scale10×
  • engineering9×
  • experience7×
  • impact6×
  • machine learning6×
  • skills6×
  • systems6×
  • language models5×
  • architecture4×
  • areas4×
  • attention4×
  • collaborative4×
  • deep4×
  • design4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched November 2, 2026 and last changed by Anthropic on November 2, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.