Own and advance a major technical area in automated recommendation research within Reflex, collaborating with other technical leads and partner teams.
Build LLM agents that connect hypothesis generation, implementation, experiment execution, evaluation and learning from previous results.
Develop rigorous evaluations for agent behavior and research outputs, and use them to improve quality, reliability and efficiency.
Contribute to generative retrieval models, particularly Semantic ID learning, evaluation and integration into production recommendation systems.
Take promising ideas from research and prototypes through offline evaluation, online experimentation and production launches.
Build reliable integrations with ML development infrastructure and make informed tradeoffs across model quality, iteration speed, compute cost and operational complexity.
