Senior Staff Tech Lead (Machine Learning Engineer, Perception)
Waymo
San Francisco, United States Posted September 11, 2026
Check how well your resume matches this job
Salary Range
$298,000 - $368,000
Job Description
Join Waymo, the leading self-driving technology company. As a Senior Staff Tech Lead in the Perception team, you will be responsible for building the system that perceives the world around the self-driving car. You will set the long-term technical roadmap for next-generation multi-modal perception architectures, architect unified representations combining diverse sensor modalities, and lead cross-functional initiatives. You will also mentor ML engineers and foster an engineering culture of rapid prototyping and rigorous benchmarking. Enjoy a competitive compensation package, generous benefits, and a hybrid work model.
- 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.
- 8+ years of industry experience in Machine Learning, AI or Computer Vision
- BS or MS in Computer Science, Robotics, Machine Learning, or equivalent practical experience
- Demonstrated experience leading large technical initiatives as a Tech Lead across cross-functional teams
- 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)
- 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
Required Skills
How to apply
You apply on Waymo’s own careers site. No account needed.
Apply on company siteUpload your resume and ARes scores it against this job in a few seconds. No account needed.
Already have access? Sign in