Feature Platform Engineer at whatnot

This role is ideal for a mid-to-senior level software engineer (4+ years) who specializes in the "plumbing" of AI/ML. You aren't just building models; you are designing the high-scale data pipelines and feature stores that make real-time ML possible. You should have a strong background in Python and experience managing production systems that handle massive consumer traffic using tools like Kafka, Flink, and AWS. The compensation package is highly competitive, starting at $245k with significant stock options. While the company operates with a remote-first mindset, this specific role requires you to live within commuting distance of their Bay Area, Seattle, LA, or NYC hubs for occasional in-person collaboration. Notable perks include a 4% 401k match, a generous "dogfooding" budget to buy items on the app, and comprehensive family planning benefits. **You might be a good fit if you...** * Have built and maintained low-latency feature ingestion systems using DynamoDB, Redis, or Kafka. * Enjoy working at the intersection of infrastructure and data science to deploy real-time marketplace signals. * Are comfortable operating autonomously in a fast-paced environment where you own the end-to-end reliability of your systems. * Have a "builder" mindset and prefer designing developer tools and APIs that help other teams scale.