Research Engineer, Knowledge Team

Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY · AI Research & Engineering · listed April 23, 2024

The shape of it

Seniority
Not stated
Where
Hybrid
Stated pay
$350,000 – $850,000 USD
Requirements listed
9
Length
897 words

In the posting’s own words

We are looking for Research Engineers to help us redesign how Claude interacts with external data sources. Many of the paradigms for how data and knowledge bases are organized assume human consumers and constraints. This is no longer true in a world of LLMs! Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures.

What it asks for · 9

  • Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using
  • Have good machine learning research experience
  • Have experience developing software that utilizes Large Language Models such as Claude
  • Are results-oriented, with a bias towards flexibility and impact
  • Pick up slack, even if it goes outside your job description
  • Enjoy pair programming (we love to pair!)
  • Want to partner with world-class ML researchers to develop new LLM capabilities
  • Care about the societal impacts of your work
  • Have clear written and verbal communication

Also a plus

  • Collaborating with product teams to quickly prototype and deliver innovative solutions
  • Building complex agentic systems that utilize LLMs
  • Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing

What the job covers

  • Designing and implementing from scratch new information architecture strategies
  • Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures
  • Building “hard” knowledge base eval sets to help identify failure modes of how language models work with external data
  • Designing and evaluating advanced agentic search capabilities.

Tools and skills named

Models & research
  • LLM4×
  • Machine learning2×
  • Fine-tuning
  • Reinforcement learning
Languages
  • Python
Ways of working
  • Slack

Words the posting leans on

  • architectures4×
  • data4×
  • information4×
  • language models4×
  • experience3×
  • knowledge3×
  • llms3×
  • agentic2×
  • base2×
  • building2×
  • capabilities2×
  • claude2×
  • designing2×
  • developing2×
  • distributed2×
  • external data2×

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 August 24, 2026 and last changed by Anthropic on August 21, 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.