Tech Lead, Applied AI - Search
Core
Lead teams building evaluation infrastructure, rubric pipelines, and multimodal agent training systems to translate human expertise into training signals for frontier AI labs.
Role type
Senior Engineering Lead (Applied AI Systems)
Builds
Evaluation infrastructure, reward-model pipelines, annotation products, and multimodal agent training environments
Domain
Frontier AI, Human-in-the-loop evaluation, RL with verifiable rewards
Deliverable
production ML models
Required skills
Team leadership, scalable system design, ML/LLM concepts (post-training, reward modeling), ambiguous environment navigation, engineering coaching
Preferred skills
Experience with RLVR, rubric-as-reward, agent grounding
Technologies
LLMs, RL, Rubric-based evaluation frameworks
Responsibilities
Coach and develop high-potential engineers, own methodology for evaluation systems and reward-hacking mitigation, lead development of pipelines converting human demonstrations to training data, drive system stability and scalability, lead system design for complex multimodal and agentic pipelines, partner with product and external AI labs
Seniority
Senior, hands-on IC with management responsibilities
