Senior/Principal Platform Engineer, ML Platform
Core
Building the internal ML platform that powers hundreds of use cases (Discovery, Safety, Economy, Creation) by providing primitives for training, evaluation, deployment, and operation of models at scale.
Role type
Principal Platform Engineer (ML Infrastructure)
Builds
Internal ML platform components including Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes.
Domain
Machine Learning Infrastructure / Cloud Platforms
Deliverable
production ML models
Required skills
System design, API design (gRPC/REST), SDK/CLI/UI development, ML lifecycle management (serving, training, CI/CD), GPU resource management, Infrastructure-as-Code, Technical strategy, Mentorship
Preferred skills
Hands-on ML experience, Product thinking
Technologies
gRPC, REST, SDKs, CLIs, UIs, GPU
Responsibilities
Define requirements and ship APIs/SDKs/CLIs/UIs for the ML platform; Bootstrap and maintain core ML Platform components; Set technical strategy and oversee high-scale infrastructure systems; Design developer experiences with paved-road templates and docs; Instrument the platform to measure adoption and reliability; Partner across organizations to optimize performance and spend; Propose new tooling to improve time to production; Mentor engineers and lead architectural decisions.
Seniority
Principal, strategy & mentorship
