Machine Learning Engineer, ML Flywheel
Core
Building and maintaining critical data and ML pipelines to scalably process ML data and automate model training, evaluation, and deployment for Waymo's autonomous driving applications.
Role type
ML Ops Engineer (Data & Pipeline Infrastructure)
Builds
Automated ML workflows and data flywheel infrastructure for onboard and offboard autonomous driving applications
Domain
Autonomous driving / ML Infrastructure
Deliverable
infrastructure
Required skills
Distributed systems design, Python, C++, System monitoring and debugging, Pipeline orchestration
Preferred skills
ML Ops principles and best practices
Responsibilities
Implement new features in Waymo's data flywheel, Develop robust ML workflows for continuous model training and deployment, Support reliable operation of ML pipelines at scale, Collaborate with ML modeling teams to design automation solutions