Anthropic is seeking a Research Engineer for its Knowledge Team to redesign how Claude interacts with external data sources. The role involves building new information architecture strategies, fine-tuning and training language models, creating evaluation sets, and developing advanced agentic search capabilities. Candidates should be experienced Python programmers with strong machine learning research experience, capable of working on LLM-based systems, collaborating across product teams, and contributing to scalable information retrieval solutions.
Research Engineer, Knowledge Team at Anthropic
Hybrid - San Francisco, CA, Seattle, WA, New York City, NY, Remote
More jobs at AnthropicSalary
USD 350,000 - 850,000
Requirements
Skills
- very experienced Python programmer
- good machine learning research experience
- experience developing software that utilizes Large Language Models such as Claude
- results-oriented with a bias towards flexibility and impact
- ability to pick up slack beyond job description
- enjoys pair programming
- wants to partner with world-class ML researchers
- cares about the societal impacts of work
- clear written and verbal communication
- collaborating with product teams to quickly prototype and deliver innovative solutions
- building complex agentic systems that utilize LLMs
- developing scalable distributed information retrieval systems (search engines, knowledge graphs, RAG, indexing, ranking, query understanding, distributed data processing)
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 identify failure modes of how language models work with external data
- Designing and evaluating advanced agentic search capabilities
Technologies
PythonLarge Language Models (LLMs)Claudereinforcement learningfinetuningknowledge basesRAGknowledge graphdistributed information retrieval
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