Drimva

Anthropic

Research Engineer, Knowledge Team

$350K–$850K

Remote-Friendly (Travel-Required) +7 · Remote · Full-time · Posted Apr 23, 2024

Location
Remote-Friendly (Travel-Required)
San Francisco, CA
Seattle, WA
New York City, NY
New York, New York, United States
Remote-Friendly US (Travel Required)
San Francisco, California, United States
Seattle, Washington, United States
Experience
Years required correlate with internal job-level requirements; no specific number stated.
Education
Bachelor’s degree or an equivalent combination of education, training, and/or experience; required field of study must be relevant to the role, as demonstrated through coursework, training, or professional experience.
Visa sponsorship
Visa sponsorship is offered, but not guaranteed for every role or candidate; the company says it will make every reasonable effort to obtain a visa after an offer.

About the job

Design information architectures for Claude and train language models to use them, while developing knowledge-base evaluations and agentic search capabilities.

What you'll do

  • Design and implement new information architecture strategies.
  • Fine-tune and use reinforcement learning to teach language models to interact with new information architectures.
  • Build knowledge-base evaluation sets and design and evaluate agentic search capabilities.

What they ask for

  • Very experienced Python programming and ability to produce reliable, high-quality code.
  • Machine learning research experience.
  • Experience developing software that uses Large Language Models such as Claude.
  • Clear written and verbal communication.

Nice to have

  • Experience prototyping and delivering solutions with product teams.
  • Experience building complex LLM-based agentic systems or scalable distributed information retrieval systems.

Pay

$350,000 — $850,000 USD (base salary)

Tools

Python, Claude, Large Language Models, RAG, knowledge graphs

AI focus

Develop information architectures and train language models to use them; build knowledge-base evaluations and advanced agentic search capabilities.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 4, 2026 (UTC)