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Anthropic is seeking a Research Engineer focused on developing trustworthy search capabilities for AI systems, particularly in the context of ensuring rigorous evidence evaluation. The ideal candidate should possess a strong quantitative mindset, advanced software engineering skills, and experience in machine learning research.
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Job Summary
The role focuses on advancing the science of making AI systems trustworthy searchers capable of parsing evidence at enormous scale.
You will own a research direction end-to-end, from forming hypotheses about latent capabilities to designing controlled experiments and running training.
This position requires setting the bar for experimental rigor, ensuring cleanly isolated variables and reproducible signals across the stack.
Matching Summary
Match Score: 75
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Anthropic is seeking a Research Engineer focused on developing trustworthy search capabilities for AI systems, particularly in the context of ensuring rigorous evidence evaluation. The ideal candidate should possess a strong quantitative mindset, advanced software engineering skills, and experience in machine learning research.
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Salary
Base: $500,000 - $850,000 USD annually; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Unusually rigorous quantitative mindset
Outstanding Python software engineering skills
Proven track record of shipping ML research
Experience with ablations and controlled experiments
Ability to operate with high autonomy
Nice-to-have
Hands-on experience with RL on large language models
Background in search, retrieval, or RAG systems
Experience building evaluations for open-ended LLM behavior
Prior work in frontier AI lab environments
Published research on LLMs or calibration topics
Key Requirements
Bachelor's degree or equivalent experience
Years of experience correlating with internal job level
Field relevant to the role demonstrated through coursework or experience