Machine Learning Engineer, ML Flywheel

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.

- 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

- 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

- Experience with ML Ops principles and best practices

#LI-Hybrid

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

$136,000 - $173,000 USD