recommendation engine · ad ranking · machine learning
ABOUT THE ROLE
Own and evolve the recommendation engine behind an advertising platform for AI entertainment and mobile games. This founding, full-stack role spans data pipelines, machine learning, and production serving, with direct impact on ad performance and user experience.
WHAT YOU'LL DO
- Design and ship a low-latency ad ranking system that selects campaigns and creative for each opportunity while balancing advertiser returns and user experience.
- Build data pipelines and feature infrastructure for continuous model training across clicks, installs, and conversions.
- Model user behavior using conversational signals, engagement history, and contextual information such as location, device, and session activity.
- Develop efficient serving infrastructure that meets sub-second latency requirements and tight per-impression cost targets.
- Create generative agents that produce playable and video ad variants, then feed performance data back into the recommendation engine.
WHAT WE'RE LOOKING FOR
- Experience appropriate to an early-career founding engineering role, with 0 to 3 years of experience.
- Shipped at least one machine learning or AI system to production, and built its data architecture, feature pipelines, and serving infrastructure end to end.
- Experience with recommendation systems, ranking, or advertising technology, and familiarity with PyTorch.
- Strong backend, machine learning, and infrastructure skills, demonstrated through production work or active projects.
- Experience in consumer technology, ad infrastructure, or an early-stage