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Research Engineer, Knowledge Team

Anthropic
Hybrid - SF, Seattle, or NYC, at least 25% in office, travel requiredUpdated 12d ago
Compensation
$350k–$850k
Published range · Top quartile for Engineering (741 listings)
Location
Hybrid - SF, Seattle, or NYC, at least 25% in office, travel required
Remote eligibility
Employment
Full-time
Mid-level
Role family
Engineering
AI / ML
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About the job

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

About the role

We are looking for Research Engineers to help us redesign how Claude interacts with external data sources. Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures.

Responsibilities

  • 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.

Qualifications

You may be a good fit if you:

  • Are a very experienced Python programmer who can quickly produce reliable, high quality code
  • 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
  • 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

Strong candidates will also have experience with:

  • 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

Compensation

Annual Salary: $350,000—$850,000 USD

Logistics

Minimum education: Bachelor’s degree or equivalent. Required field of study: relevant field. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Visa sponsorship: We do sponsor visas!

Skills & tags

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