ApplySarthiSenior Machine Learning Engineer, Predictive Planner, Systems Arch
Waymo
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This role on the market
15 open predictive roles across 12 companies are on ApplySarthi right now, most of them in Bengaluru (2).
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What predictive roles keep asking for: Python (60%), Machine learning (47%), PyTorch (33%), Azure (20%), Generative AI (20%), TensorFlow (20%), AWS (13%), C++ (13%) — counted across their open postings here.
Machine Learning Engineer jobs in the United States · Machine Learning Engineer jobs in San Francisco · Machine Learning Engineer jobs in Mountain View · Remote Machine Learning Engineer jobs · C++ jobs · Deep learning jobs · Machine learning jobs · PyTorch jobs
Waymo has 392 open roles listed here.
- Security Operations Center Watch Lead
- Senior Signal Integrity and Power Integrity Engineer
- Senior Staff Technical Lead Manager - Mapping
- Badging Program Manager
- Fleet Operations Partner Relationship Specialist, Americas
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for predictive roles keep coming back to Python, Machine learning, PyTorch, Azure. Practise those questions before you sit with Waymo.
Questions you are likely to be asked
- Why do you want to join Waymo?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Senior Machine Learning Engineer, Predictive Planner, Systems Arch at Waymo interview free →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.
Match this job to your CV
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Listed on greenhouse · posted 2026-09-10. ApplySarthi collects openings and links to application pages; the role is advertised by Waymo, not by us.