Senior Machine Learning Engineer, Recommendation

Skip to main content Senior Machine Learning Engineer, Recommendation Sekai United States Apply Join or sign in to find your next job Join to apply for the Senior Machine Learning Engineer, Recommendation role at Sekai Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Senior Machine Learning Engineer, Recommendation Sekai United States 1 month ago Over 200 applicants See who Sekai has hired for this role Apply Join or sign in to find your next job Join to apply for the Senior Machine Learning Engineer, Recommendation role at Sekai Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job 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.Here are Sekai’s download links:Android: https://play.google.com/store/apps/details?id=chat.sekai.app&hl=en_USiOS: https://apps.apple.com/us/app/sekai-create-remix-play/id6504506653About the RoleWe are looking for a Senior Machine Learning Engineer to own search and recommendation systems for Sekai’s consumer product.This role sits at the center of content discovery, user engagement, and content distribution. 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.This is a senior IC role for someone who has built real recommendation, search, ranking, or discovery systems in production for consumer apps, especially in entertainment-driven products.What You Will OwnBuild 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. 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...