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Vals AI in San Francisco seeks a Head of Research to define and advance evaluation methodologies for large language models and AI systems. You will set research direction across the portfolio, publish influential work, and recruit a research team while partnering with enterprise customers and lab partners.
The role emphasizes real‑world deployment impact, collaboration with AI labs, and leadership of a high‑caliber team.
Directly focused on building benchmarks and evaluation frameworks for LLMs and AI models — closely tied to vibe-coding and benchmarking work.
Lead Vals AI's research efforts to design and validate new evaluation methodologies and benchmarks for LLMs and other AI systems, set research direction, publish influential work, and build and manage a research team while working closely with enterprise customers and lab partners in San Francisco.
Head of Research responsible for defining and advancing evaluation methodologies and benchmarks for large language models and other AI systems. The role sets research direction across Vals’ portfolio, publishes work that moves the field forward, recruits and grows a research team, and partners directly with enterprise customers and AI labs on real‑world evaluation problems.
Research Leadership Experimental Design LLM Evaluation Publication & Communication Team Building Mentorship Customer‑facing Collaboration Domain Expertise Learning Agility Ownership Problem Solving
USD 225,000 - 275,000/year
Full-time