We are looking for Research Engineers to help us redesign how Claude interacts with external data sources. The role involves designing new architectures for how information is organized, training language models to optimally use those architectures, and building evaluation sets to identify failure modes of language models interacting with external data.
Research Engineer, Knowledge Team en Anthropic
Remoto - Remote-Friendly (Travel-Required), San Francisco, CA, Seattle, WA, New York City, NY
Más vacantes en AnthropicSalary
USD 350,000 - 850,000
Requirements
Skills
- Very experienced Python programmer who can quickly produce reliable, high-quality code
- 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
- 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
- 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, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing
Responsibilities
- Designing and implementing new information architecture strategies from scratch
- 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
Technologies
PythonLarge Language Models (Claude)Agentic systemsSearch enginesKnowledge graphsRAGIndexingRankingQuery understandingDistributed data processing
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