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Technical Lead
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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.
- Partner with product, data, and engineering teams to define metrics, run experiments, and ship measurable improvements.
Requirements:
- 5+ years of industry experience building production ML systems, with senior-level ownership of recommendation, search, or ranking systems.
- Hands-on experience building recommendation or search systems for consumer apps, especially entertainment-driven products.
- Strong practical experience with two-tower models, embedding retrieval, candidate generation, and online/offline evaluation.
Nice to Have:
- Experience with AI recommendation, LLM-powered ranking, semantic search, or AI-native content understanding.
- Experience with UGC content ecosystems, creator marketplaces, or multimodal content understanding.
- Startup experience or experience building 0-to-1 ML systems with limited infrastructure.
Sekai
Sekai is building the TikTok for mini apps — an AI-driven consumer platform where people create, remix, share, and play interactive content instantly. They are a Series A company backed by Khosla, a16z, Mayfield, and A*, with $30M raised to date, and are a remote-first team looking for ambitious, AI-native builders.