Staff Tech Lead, Machine Learning Engineer, Perception
- Pay
- $251,000 – $310,000 per year
- Location
- Mountain View, CA
- Listed
- Today
You will
- Lead the design and development of multi-sensor, multi-task model architectures for dense and complete scene understanding with a focus on key tasks including object detection, occupancy prediction, road understanding, and trajectory planning.
- Architect and develop the foundational modeling libraries and software powering model development and experimentation.
- Design and implement scalable core model components, including sensor encoders, sensor fusion modules, backbones, and temporal aggregation / memory blocks.
- Adapt SOTA ML technologies to unique compute requirements, leading optimizations for latency, throughput, and memory to operate efficiently within strict compute budgets.
- Drive rapid prototyping by building and maintaining flexible pipelines and development environments for fast iteration on novel model designs, enabling seamless integration of field advancements and in-depth analysis of model training dynamics and learned representations.
You have
- Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
- 7+ years experience in Machine Learning and/or Computer Vision
- Strong expertise in Python and C++ and a solid software engineering background
- Experience with ML frameworks like PyTorch, JAX, or Tensorflow
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
Pay and benefits
The expected base salary range for this full-time position 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. 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.
Salary Range $251,000 - $310,000 USD
About Waymo
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes.
The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver.
We conduct our own research to address real-world problems and collaborate with research teams at Alphabet.
We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.
In this hybrid role, you'll report to a Staff Technical Lead Manager.
From Waymo's careers page, first listed on Rolev.ai on November 12, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Staff Tech Lead, Machine Learning Engineer, Perception role at Waymo, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Similar roles
- Staff Technical Program Manager, Software EngineeringMainspring Energy · Menlo Park, CA
- Staff Technical Program Manager, InferenceCoreweave · Livingston, NJ / New York City, NY / Sunnyval…
- Staff Technical Program Manager, Advanced Technology GroupVisit Oregon · San Francisco, CA
- Staff Technical Program Manager - AppExSnowflake · CA-Menlo Park | US-WA-Bellevue
- Staff Technical Account Manager1Password · Remote (United States | Canada)
- Staff Technical Product Manager, Autonomous WorkforceServiceNow · San Diego, CA
More at Waymo
Common questions
What is the salary for the Staff Tech Lead, Machine Learning Engineer, Perception role at Waymo?
The Staff Tech Lead, Machine Learning Engineer, Perception posting at Waymo states compensation of $251,000 – $310,000 per year. Final pay may depend on location, experience, and interview evaluation on Waymo's official career site.
Where is the Staff Tech Lead, Machine Learning Engineer, Perception job at Waymo located?
This Staff Tech Lead, Machine Learning Engineer, Perception position at Waymo is located in Mountain View, CA. Always check Waymo's application page for specific state eligibility or relocation policies.
How do I apply for the Staff Tech Lead, Machine Learning Engineer, Perception position at Waymo?
This listing links directly to Waymo's Greenhouse application page. You can apply directly on Waymo's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.