personalized advertising · recommendation technology
ABOUT THE ROLE
Join an early-stage AI company building personalized advertising and recommendation technology. You will own the matching system end to end, from model development through real-time serving, helping shape a core product capability.
WHAT YOU'LL DO
- Build retrieval, ranking, and re-ranking systems to match ads with recipients.
- Develop embedding and vector-search infrastructure for real-time ad selection.
- Optimize ranking for click-through rate, advertiser return, publisher revenue, and subscriber relevance.
- Own the feature store and serving path, including offline training, online inference, and consistency between them.
- Apply large language models and foundation models to subscriber tagging, content understanding, and user modeling.
- Take initiatives from prototype to production, including online learning, feedback systems, ETL/ELT pipelines, and warehouse transformations.
- Create dashboards and scorecards to track system health and business and model performance.
- Work with company leadership and engineering to set priorities, and help scale the recommendation system and future ML team.
WHAT WE'RE LOOKING FOR
- Five or more years of relevant experience, including at least three years building recommendation, ranking, or advertising systems.
- Experience shipping production recommendation or matching systems across candidate generation, ranking, embedding-based retrieval, serving, and evaluation.
- Background building ad ranking, click-through or conversion prediction, or ad-matching models.
- Hands-on experience with e