Senior/Principal Platform Engineer, ML Platform

📋 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 7+ 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
• Full-time employees are eligible for benefits