Senior Machine Learning Engineer, Recommendation
New
S
SekaiConsumer Social AI
United States-RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- Machine Learning
Requirements
- 5+ years of industry experience building production ML systems.
- Senior-level ownership of recommendation, search, ranking, or discovery systems.
- Hands-on experience building recommendation or search systems for consumer apps.
- Experience working on entertainment, social, gaming, or engagement-driven products.
- Strong practical experience with two-tower models, embedding retrieval, candidate generation, and ranking.
- Strong product intuition around relevance, retention, engagement, and content distribution.
- Ability to translate user behavior into modeling signals.
- Strong engineering fundamentals across modeling, data pipelines, backend integration, and production ML systems.
Responsibilities
- Build and improve recommendation and search systems across feed, discovery, search, and content continuation surfaces.
- Own retrieval and ranking systems, including candidate generation, embedding-based retrieval, two-tower models, ranking features, and online serving quality.
- Design, launch, and analyze recommendation/search experiments end-to-end.
- Improve recommendation quality for new users and content.
- Build user, content, creator, and session-level representations from behavioral signals.
- Partner with product, data, and engineering teams to define metrics and ship improvements.
- Build practical ML systems that can move from prototype to production quickly.
- Help shape the long-term ML architecture for AI-native content discovery.
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