Senior/Principal Platform Engineer, ML Platform
Core
Building the internal ML platform that powers hundreds of use cases (Discovery, Safety, Economy, Creation) by providing scalable primitives for training, evaluation, deployment, and operation of models.
Role type
Principal Platform Engineer (ML Infrastructure)
Builds
Scalable ML infrastructure primitives, APIs, SDKs, CLIs, and UIs for internal developers
Domain
Internet / Machine Learning Infrastructure
Deliverable
production ML models | infrastructure
Required skills
System design, API design, Developer experience, Infrastructure as code, Technical strategy, Cross-functional partnership, Mentorship
Preferred skills
End-to-end ML model lifecycle experience, GPU resource management, Model serving, ML CI/CD
Technologies
gRPC, REST, SDKs, CLIs, UIs
Responsibilities
Define requirements and ship APIs/SDKs/CLIs/UIs for the ML platform; Bootstrap and maintain core components (Serving Layer, Model Registry, Pipeline Orchestrator); Set technical strategy for high-scale infrastructure; Design developer experiences with paved-road templates; Instrument platform for adoption and reliability metrics; Partner with ML/Data/Infra teams to optimize performance and cost; Propose new tooling for the ML lifecycle; Mentor engineers and lead architectural decisions.
Seniority
Principal, hands-on IC with strategy & mentorship
