Machine Learning Engineer, Content and Navigation at whatnot

This role is ideal for a mid-to-senior ML Generalist who thrives in fast-paced startup environments. You should have at least 4 years of experience building and deploying production-grade models, specifically within search, recommendations, or NLP. The team values "product-first" engineers who prioritize user experience over technical complexity and have a track record of shipping features quickly. The compensation is highly competitive, offering a base salary up to $345,000 plus stock options. While the company supports a "remote co-located" model, you must live within commuting distance of their hubs in SF, NY, LA, or Seattle for in-person collaboration. Standout perks include a 4% 401k match, 16 weeks of parental leave, and a dedicated monthly budget to "dogfood" the app by buying and selling collectibles. **You might be a good fit if you:** * Have practical experience applying LLMs and intent-understanding to consumer-scale data. * Are proficient in Python, SQL, and modern ML frameworks. * Enjoy end-to-end ownership, from data engineering and model training to backend implementation. * Prefer a high-growth culture where shipping "lightning-fast" is the standard.