Senior ML Engineer – AI-Driven Discovery & Recommendations

Speedrun Talent Network; San Francisco (CA); À distance; USD 180 000 - 260 000; Plein temps

Avantages offerts par ce poste

Competitive compensation package

Meaningful equity

Comprehensive health insurance

Résumé du poste

Sekai is building the TikTok for mini apps—an AI-driven consumer platform where people create, remix, share, and play interactive content instantly. We are remote-first, Series A backed by Khosla, a16z and Mayfield, seeking a Senior Machine Learning Engineer to own search and recommendation systems for Sekai’s consumer product.

This senior IC role sits at the center of content discovery, user engagement, and content distribution.

Qualifications

• 5+ years of industry experience building production ML systems with ownership of discovery systems.
• Hands-on experience building recommendation or search systems for consumer apps.
• Experience in entertainment or engagement-driven products.
• Practical experience with two-tower models, embedding retrieval, ranking, and online/offline evaluation.

Responsabilités

• Build and improve recommendation and search systems across feed, discovery, search, and content 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, then use the data to iterate quickly.
• Improve recommendation quality for new users, new content, and fast-changing content pools.
• Build user, content, creator, and session-level representations from behavioral signals.
• Partner with product, data, and engineering teams to define metrics, run experiments, and ship measurable improvements to retention, engagement, and content distribution.
• Build practical ML systems that can move from prototype to production quickly, with clear monitoring and evaluation.
• Help shape the long-term ML architecture for AI-native content discovery.

Connaissances

Production ML systems

Recommendation & search

Two-tower models

Embedding retrieval

Online/offline evaluation

Content discovery

Experiment design

Cross-functional collaboration

Description du poste

Sekai is building the TikTok for mini apps—an AI-driven consumer platform where people create, remix, share, and play interactive content instantly. We are remote-first, Series A backed by Khosla, a16z and Mayfield, seeking a Senior Machine Learning Engineer to own search and recommendation systems for Sekai’s consumer product.

This senior IC role sits at the center of content discovery, user engagement, and content distribution.