Machine Learning Engineer, Content and Navigation at whatnot

This role is ideal for a Senior-to-Staff level Machine Learning Engineer (4+ years experience) who thrives in high-growth startup environments. You should have a proven track record of moving beyond research to deploy production-scale models in domains like search, recommendation systems, or NLP. The team values "product-first" engineers who prioritize user experience over technical complexity and can code proficiently in Python and SQL. The compensation is highly competitive ($245k – $345k base plus equity), reflecting the high bar for technical excellence. While the role is listed as "remote co-located," you must live within commuting distance of their hubs in SF, LA, NYC, or Seattle for in-person collaboration. Standout perks include a 4% 401k match, 16 weeks of parental leave, and a unique monthly "dogfooding" budget to shop on the platform. **You might be a good fit if you:** * Have successfully built and scaled discovery/ranking systems for a consumer-facing app. * Enjoy "lightning-fast" shipping cycles and end-to-end ownership, from data engineering to backend implementation. * Are comfortable using LLMs and modern ML frameworks to solve real-world content understanding problems. * Want to influence the technical roadmap of a top-tier marketplace.