Machine Learning Engineer - Recommendation Systems - Mandarin Required

JD in one line


Own recommendation, search, ranking, retrieval, and discovery for Sekai’s content ecosystem.


What you will own


· Build recommendation and search across feed, discovery, search, and content continuation.


· Own retrieval/ranking: candidate generation, embeddings, two-tower models, features, and serving quality.


· Design, launch, and analyze recommendation/search experiments.


Requirements


· years industry experience building production ML systems with senior ownership.


· 5+ Hands-on recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.


· Consumer apps, entertainment, social, gaming, creator, or engagement-driven products.


· Two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.


Hard filters


· 5+ years industry experience building production ML systems with senior ownership.


· Hands-on recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.


· Consumer apps, entertainment, social, gaming, creator, or engagement-driven products.


· Two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.


Strong fit


· Build recommendation and search across feed, discovery, search, and content continuation.


· Own retrieval/ranking: candidate generation, embeddings, two-tower models, features, and serving quality.


· Design, launch, and analyze recommendation/search experiments.


Bonus:


Bonus signal: 5+ years production ML


Bonus signal: recommendation systems


Bonus signal: search ranking


Bonus signal: embedding retrieval


Anti-signals


· Cannot show core Senior Machine Learning Engineer, Recommendation experience


· Not comfortable with the listed work mode


Low ownership, coordination-only, or no shipped examples

This is a remote position.