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# Machine Learning Engineer, ML Flywheel

- **Company:** Waymo LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $136,000.0 - $173,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Software Debugging, Distributed Systems, Python (Programming Language), Machine Learning, Azure Machine Learning, Information Technology, Machine Learning Operations
- **Published:** July 1, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/85642662/1

## About the Role

* Bachelor's degree in Computer Science, Engineering, or related field, and 2+ years equivalent experience
 * Experience with distributed systems principles and experience building distributed systems for production environments.
 * Solid Python or C++ skills
 * Experience monitoring, debugging, and troubleshooting complex distributed systems
 * Experience communicating updates and resolutions to customers and other partners

We prefer:

 * Experience with ML Ops principles and best practices

## Description

The ML Ops team, part of Waymo ML Platform team, builds tools and infrastructure to realize the ML flywheel at Waymo. This includes building automation and orchestration solutions to make complex ML workflows manageable and reliable. This team also partners closely with the modeling team to realize solutions to speed up developer velocity., We're looking for a software engineer to join the team to build and maintain the critical data and ML pipelines that powers ML development at Waymo.

In this hybrid role, you will report to a Technical Lead Manager, Staff Software Engineer.

You will:

 * Implement new features in Waymo's data flywheel to scalably process ML data
 * Develop robust ML workflows to continuously and automatically train, evaluate, and deploy models for Waymo's onboard and offboard applications
 * Support the reliable operation of ML pipelines at scale
 * Collaborate with ML modeling teams in understanding their workflows & design automation solutions that solve their problems


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