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# Sr Staff Tech Lead, Machine Learning Engineer, Perception

- **Company:** Waymo LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $298,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Python (Programming Language), Machine Learning, Rapid Prototyping Process, Tensorflow, Software Engineering, Pytorch, Information Technology
- **Published:** November 14, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-staff-tech-lead-machine-learning-engineer-perception-mountain-view-ca--05c7511c-77d8-464d-b690-de91e70478b8

## About the Role

Machine Learning, Technical Leadership, Machine Learning, Technical Leadership, Software Engineering, Autonomous Driving Systems, Use Cases, Process Improvement, Analysis Skills, Team Player, * BS or MS in Computer Science, Robotics, Machine Learning, or equivalent practical experience.

 * 8+ years of industry experience in Machine Learning, AI or Computer Vision.
 * Proven track record of architecting and shipping large-scale, production-grade machine learning models.
 * Expert proficiency in Python, C++, and modern ML frameworks (e.g., PyTorch, JAX, TensorFlow).
 * Demonstrated experience leading large technical initiatives as a Tech Lead across cross-functional teams.

We prefer:

 * PhD with a publication record at top-tier venues.
 * Strong industrial experience multi-modal foundation models, 3D perception, or end-to-end autonomous driving systems.
 * Experience designing modular, sensor-agnostic perception frameworks that scale across diverse configurations.

## Description

In this hybrid role, you''ll report to a Senior Staff Technical Lead Manager.

You will:

 * Set the long-term technical roadmap for next-generation multi-modal perception architectures, driving paradigm shifts in multi-task learning, spatial-temporal modeling, and scene representation.
 * Architect unified, scalable representations combining diverse sensor modalities across heterogeneous sensor suites.
 * Lead cross-functional initiatives across Perception and Planner and partner with hardware and infrastructure teams to optimize foundational architectures for onboard requirements.
 * Mentor ML engineers and foster an engineering culture of rapid prototyping and rigorous benchmarking.