Anthropic
Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems.
51 - 200
Research Engineer, Knowledge Bases
June 3
🏢 In-office - London
Anthropic
Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems.
51 - 200
Description
• 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 • Extending traditional ideas like RAG into heterogeneous data types (image, tables, relational data, etc.)
Requirements
• Have significant Python programming experience • 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 (we love to pair!) • 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
Benefits
• Optional equity donation matching. • Comprehensive health, dental, and vision insurance for you and all your dependents. • 401(k) plan with 4% matching. • 22 weeks of paid parental leave. • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more! • Stipends for education, home office improvements, commuting, and wellness. • Fertility benefits via Carrot. • Daily lunches and snacks in our office. • Relocation support for those moving to the Bay Area.
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