Research Engineer, Knowledge Team

Anthropic
New York, San Francisco, Seattle
Workplace: HybridFull timeUSD 350,000 - 850,000 annuallyFunction: Research & Scientific (R&D)Education: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Paired programming"]

Design and implement new information-architecture strategies to organize external data for LLMs, train language models to utilize these architectures, and build hard knowledge-base evaluation sets. Work with world-class ML researchers to develop scalable, distributed retrieval systems and agentic search capabilities, using Python and RL techniques to drive meaningful impact.

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Anthropic
Anthropic
2 years ago

Research Engineer, Knowledge Team

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Design and implement new information-architecture strategies to organize external data for LLMs, train language models to utilize these architectures, and build hard knowledge-base evaluation sets. Work with world-class ML researchers to develop scalable, distributed retrieval systems and agentic search capabilities, using Python and RL techniques to drive meaningful impact.
Location: New York, San Francisco, Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key 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.
  • •Collaborating with product teams to quickly prototype and deliver innovative solutions.

Pay and Benefits

Salary: USD 350,000 - 850,000 annually
Perks:Paid LeaveParantal Leave

Key Requirements

  • •Extremely experienced Python programmer capable of delivering high-quality, reliable code quickly.
  • •Solid machine learning research experience.
  • •Experience building software that uses large language models (e.g., Claude).
  • •Strong written and verbal communication and ability to collaborate with world-class ML researchers.
Experience:Artificial IntelligenceMachine Learning
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solvingPaired programming
Languages:English
Tech Stack:PythonLarge Language ModelsClaudeReinforcement learning

Company Brief

Anthropic
Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn