Machine Learning Engineer - Search, Ranking & Personalization

Join a fast-growing shopping platform to design, build, and scale ML systems for search, ranking, and personalization. This role involves deploying large-scale models serving hundreds of millions of items daily, and collaborating with backend and infrastructure teams. The position is fully remote, with a preference for candidates based in New York or San Francisco.

• Design, train, and deploy large-scale search, ranking, and personalization models.
• Handle hundreds of millions of items daily with high performance and reliability.
• Collaborate closely with backend and infrastructure teams to integrate ML models into production (GraphQL, Prisma, Node.js, Python, gRPC/Protobuf).
• Continuously improve model accuracy and system scalability.
• Contribute to product direction and technical roadmap for the ML systems.

• Minimum of 3+ years professional experience building and deploying ML models in production.
• Proven experience with ranking, recommendation, or personalization systems.
• Proficiency in PyTorch and large-scale data processing for real-time inference.
• Strong backend integration experience (GraphQL, Prisma, Node.js, Python, gRPC/Protobuf).
• Willingness to work in a high-intensity, fast-paced startup environment.
• Based in New York or remote in San Francisco.