Machine Learning, Content and Navigation at whatnot

This role is ideal for a senior-level Machine Learning Engineer with at least 4 years of industry experience who thrives in high-growth, fast-paced environments. You should have a strong track record of deploying ML models (Search, RecSys, or NLP) at a consumer scale and a product-first mindset that prioritizes user experience over technical complexity. The compensation is highly competitive, offering a base salary of **$245k – $345k** plus equity and a 4% 401k match. While the role is "remote co-located," you must live within commuting distance of hubs in **SF, NY, LA, or Seattle** for in-person collaboration. Notable perks include a "dogfooding" budget to shop on the app, comprehensive family planning benefits, and generous annual allowances for wellness and childcare. **You might be a good fit if you:** * Have mastered **Python, SQL, and ML frameworks** to build end-to-end production pipelines. * Prefer "shipping lightning-fast" over long, academic research cycles. * Have experience with **LLMs, content understanding, or discovery systems** for marketplaces. * Enjoy "dogfooding" the products you build to understand the buyer and seller journey.