Principal Machine Learning Platform Engineer

📋 Description Own platform as a product and set direction end to end: Define requirements, write RFDs, and ship Bootstrap and maintain core ML Platform components: Serving Layer, Model Registry, Pipeline Set technical strategy and oversee development of high scale and reliable infrastructure systems Design great developer experiences with paved-road templates, golden paths, opinionated defaults Instrument the platform to measure adoption, friction, reliability, and cost; use data to Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to 🎯 Requirements Have 10+ years of professional experience and have a wealth of system design experience upon which A Code Machine; you love not only to design and communicate ideas but also to actually ship Proficient in API design and developer experience—gRPC/REST APIs, SDKs, CLIs, and simple UIs that Good to have - experience with the end-to-end ML model lifecycle such as model serving, training You're passionate about infrastructure-as-code and automating painful manual processes. You push Passionate about supporting ML engineers to meet and understand their needs, and translating them 🎁 Benefits Equity compensation Benefits as described on the total rewards page