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 should have a strong background in building high-throughput production systems, specifically focusing on data ingestion, storage, and real-time feature pipelines. While you’ll collaborate with ML scientists, this is a platform-centric role requiring deep expertise in Python and distributed systems like Kafka or Flink. The compensation is highly competitive, offering up to **$345k base salary** plus equity and a 401k match. While the role is "remote co-located" (requiring proximity to hubs like SF, NYC, Seattle, or LA), the benefits package is exceptionally generous. Standouts include 16 weeks of parental leave, a "dogfooding" budget to shop on the app, and comprehensive allowances for wellness, home office, and childcare. **You might be a good fit if you...** * Have 3+ years of experience scaling production systems with tools like DynamoDB, Redis, or PostgreSQL. * Are comfortable building the infrastructure that allows ML models to make sub-second decisions. * Enjoy "builder" environments where you create APIs and abstractions for other technical teams. * Live near (or are willing to commute to) a major tech hub for occasional in-person collaboration.