Lead Machine Learning Engineer - ML Infrastructure
Core
Technical anchor for end-to-end ML platform spanning training, experimentation, inference, and edge deployment for large-scale AI products.
Role type
Senior IC Lead Machine Learning Engineer (ML Infrastructure)
Builds
Scalable ML infrastructure, online/batch inference systems, and edge deployment pipelines for AI products.
Domain
Artificial Intelligence / Distributed Systems / Cloud & Edge Computing
Deliverable
production ML models | infrastructure
Required skills
Distributed ML training, Kubernetes orchestration, Ray framework, Spark, Edge ML deployment, System architecture, Reliability engineering, Observability, Security practices, Technical leadership
Preferred skills
Open-source contributions (Ray, Spark, RayDP, Kubernetes), Enterprise security compliance, Firmware/embedded collaboration
Technologies
Ray, Spark, Kubernetes, RayDP
Responsibilities
Set technical strategy for end-to-end ML platform delivery; Design and operate scalable inference systems; Partner with firmware teams for edge deployment; Own reliability, observability, and security practices; Mentor senior engineers and applied scientists; Contribute to open-source communities.
Seniority
Senior, hands-on IC with technical leadership
