Sekai
Senior Machine Learning Engineer, Recommendation
United States-Remote · Senior
Sponsorship not specifiedDetected 44 days ago
iOSAndroidMachine LearningData EngineeringLLMsMLOpsA/B TestingCommunication
About the role
- Improve recommendation quality for new users, new content, and fast-changing content pools.
- Help shape the long-term ML architecture for AI-native content discovery.
- This role sits at the center of content discovery, user engagement, and content distribution.
Responsibilities
- iOS: https://apps.apple.com/us/app/sekai-create-remix-play/id6504506653
- 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, then use the data to iterate quickly.
- 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.
- You will build the models and systems that decide what users see, what they search for, what they continue playing, and how high-quality content reaches the right audience.
- If you are excited about building at the frontier of AI, consumer social, and interactive entertainment, we would love to hear from you.
- At Sekai, you will work with an AI-native team, move fast, own meaningful problems, and have the flexibility to explore new ideas from an early stage.
Requirements
- Experience working on entertainment, social, gaming, short-form content, creator, or other engagement-driven consumer products.
- Strong practical experience with two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.
- Ability to translate messy user behavior into useful modeling signals and practical product improvements.
Nice to have
- Experience with AI recommendation, LLM-powered ranking, semantic search, personalized generation, or AI-native content understanding.
- Experience with UGC content ecosystems, creator marketplaces, or rapidly changing content catalogs.
- Experience with multimodal content understanding across text, image, video, interaction traces, or generated content.
Compensation
- Top compensation package, including competitive salary and meaningful equity.
Benefits
- Top compensation package, including competitive salary and meaningful equity.
- Comprehensive health insurance and benefits.
- We are looking for a Senior Machine Learning Engineer to own search and recommendation systems for Sekai's consumer product.
Company info
- 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 a Series A company backed by Khosla, a16z, Mayfield, and A*, with $30M raised to date.
- We are remote-first across all positions and are looking for ambitious, AI-native builders who want to help shape the next generation of consumer social products.
This listing is sourced directly from Sekai's careers page and normalized into a canonical job model.