Senior Machine Learning Engineer, Predictive Planner, Systems Arch
Mountain View, CA, USA; San Francisco, CA, USA
- Pay
USD 213,000–263,000/yearAnnual period assumed — pay source
Salary Range $213,000—$263,000 USD
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and build ML models and deploy them on production autonomous vehicles
Build architectures, algorithms, pipelines and evaluation systems on Google's data infrastructure
Work with researchers and engineers to develop safe, smooth planning behavior for all road users
Tackle real-world problems with ML and engineering solutions
From the employer’s posting
Use state of the art techniques to design and build ML models, deploy them in the real world on production vehicles
Design and build the necessary architectures, algorithms, pipelines and evaluation systems on Google's extensive data infrastructure
Collaborate with researchers, product area owners and engineers to develop safe, smooth planning behavior for all road users
Tackle challenging real-world problems with ML and engineering solutions
Education & alternatives
We prefer: - MS or PhD in Computer Science, Machine Learning, Robotics, or a related field - Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP
Tools in this posting
- C
- C++
- Python
- PyTorch
- TensorFlow
Source — Tool mentions in context
- Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) - Proficient programming skills (eg: Python, C/C++) - Strong analytical and problem solving skills
- Bachelors in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience - Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) - Proficient programming skills (eg: Python, C/C++)
Posting record
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- Live
- First seen by us
- Sep 13, 2026 · 47 days ago
- Recorded sightings
- 103
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on careers.withwaymo.com. The employer’s form will show what is required.
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Job description
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 Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver’s behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.
The system architecture team handles the onboard contract of the model with the system, including kinematics, interfaces and representations. Our team’s mission is to work across the stack, building the best setup for the model to drive. We tackle this through projects in data, modeling, metrics, and the overall planner system.
In this role, you will report to a Technical Lead Manager.
You will:
- Tackle challenging real-world problems with ML and engineering solutions.
- Use state of the art techniques to design and build ML models, deploy them in the real world on production vehicles
- Design and build the necessary architectures, algorithms, pipelines and evaluation systems on Google's extensive data infrastructure
- Collaborate with researchers, product area owners and engineers to develop safe, smooth planning behavior for all road users & deliver product requirements.
You have:
- Bachelors in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
- Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch)
- Proficient programming skills (eg: Python, C/C++)
- Strong analytical and problem solving skills
- 4+ years of experience in Machine Learning modeling and/or Autonomous Vehicles systems
We prefer:
- MS or PhD in Computer Science, Machine Learning, Robotics, or a related field
- Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP
- Prior software development or ML research industry experience (including internships)
- General software engineering experience solving motion planning or related robotics problems
- Experience applying or evaluating ML-based systems in production environments
- Experience with performance optimization of deep models, including with respect to specific hardware architectures
The expected base salary range for this full-time position across US locations 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. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
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.
Source details
Source notes
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- Pay
Salary Range $213,000—$263,000 USD
- Location & working pattern
Mountain View, CA, USA; San Francisco, CA, USA
- Experience with performance optimization of deep models, including with respect to specific hardware architectures The expected base salary range for this full-time position across US locations 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. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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