FigmaSan Francisco, CALead AI evaluation for Figma's AI-powered products. Define quality metrics, build human + automated eval frameworks (rubrics, golden datasets, LLM-as-judge), manage a small team, and deliver decision-ready insights to Product, Design, and Engineering stakeholders.
Lead Scale’s Policy Research Lab, setting strategy and managing research on AI safety, benchmarks, and frontier risk evaluations while collaborating with government institutes and academia. Requires 6+ years experience, strong technical/policy background, and proven team leadership.
Lead AI research defining the agenda for trustworthy agentic systems, memory, retrieval, and evaluation frameworks. PhD required with 5+ years focused on LLMs/agents and a strong publication record; work ships directly to production for high-stakes financial users.
Lead applied AI research practice delivering client outcomes through benchmarking, data strategy, and RL environments. Drive revenue impact, scope engagements, and lead cross-functional teams of researchers and engineers.
Lead Protege's DataLab research organization, defining strategy for AI training data quality, evaluation systems, and marketplace optimization while managing researchers and partnering with Product, Engineering, and GTM.
Leads research team advancing LLM scaling, efficiency, post-training, RL, and inference optimization. Drives innovations from research to production, requiring deep ML expertise, Python/PyTorch proficiency, and leadership in large-scale experiments.