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# Machine Learning Engineer, Driver Refinement & Validation, Perception

- **Company:** Waymo LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $175,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Software Debugging, Device Drivers, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Pytorch, Deep Learning, Model Validation, Information Technology, Machine Learning Operations
- **Published:** October 26, 2026
- **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-driver-refinement-validation-perception-mountain-view-ca--0c1c94cb-44e7-48e4-b6b9-5d8196db921c

## About the Role

Machine Learning, Device Drivers, Machine Learning, Device Drivers, Software Engineering, Autonomous Driving Systems, Use Cases, Process Improvement, Analysis Skills, Technical Leadership, * Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience

 * 3+ years experience in Machine Learning and/or Computer Vision
 * Experience with Python or C++
 * Experience with ML frameworks like PyTorch or JAX

We prefer:

 * MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
 * Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI

## Description

Machine Learning Engineer, Driver Refinement & Validation, Perception

 * 5431
 * On Site
 * Mountain View, California
 * San Francisco, California
 * Software Engineering
 * Full-Time, In this hybrid role, you will report to a Technical Lead Manager.

You will:

 * Own tasks in the ML Driver, take responsibility for task performance, create ML methods and recipes to scale and improve tasks.
 * Analyze behavior of ML systems in real-world application, identify issues and root causes, advise or develop short- and long-term solutions.
 * Develop methods and recipes for distributed fine-tuning enabling multiple developers to simultaneously improve the model, develop methods and recipes to avoid regression against a production system.
 * Monitor ML systems in production, develop methods for automatically detecting issues or regressions, develop AI-aided analysis and debugging tooling.
 * Develop and maintain model evaluation recipes and metrics for measuring and improving performance of pre-trained and fine-tuned models