Machine Learning Engineer, ML Ops

In this role, you'll enhance automation and efficiency, identifying bottlenecks in our ML workflow and developing solutions to accelerate our ML pipeline. You'll build automated pipelines, creating new infrastructure or applying existing tools innovatively. From version control and reproducibility to monitoring and retraining, you'll ensure quality and consistency across all aspects of the process.

In this hybrid role, you will report to an Engineering Manager

You will:

• Design and implement automated workflows to work towards the ML flywheel for Waymo’s data and model training needs 
• Develop tooling and infrastructure to reliably train models for Waymo’s onboard and offboard applications
• Accelerate the developer velocity of product and research teams by looking for and addressing bottlenecks in the ML development lifecycle

You have:

• 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.
• Outstanding programming skills in C++, or Python

We prefer:

• Experience with ML Ops principles and best practices

#LI-Hybrid