Before you apply
Listed location: Mountain View, CA, USA; San Francisco, CA, USA; Pittsburgh, PA, USA
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by Waymo; category and skill labels may be inferred. How our listings work · Report a problem
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.
Driver Refinement and Validation’s (DRV) mission is to build upon the high-quality ML Driver developed by Driver Intelligence, refining its performance to improve autonomous driving in specific, complex real-world contexts and problem areas (e.g., Ride-Hailing contexts). It aims to ensure that the Waymo Driver always computes safe, compliant, comfortable, and useful plans. As an Engineer in DRV, you will bridge the gap between cutting-edge machine learning and real-world vehicle performance, engineering the validation and onboard systems that ensure the autonomous vehicle reliably executes intelligent and predictable maneuvers.
You will:
- Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo’s business
- Fine-tune, adapt, and benchmark state-of-the-art generative models to improve autonomous vehicle perception, motion prediction, and trajectory planning
- Write high-quality, scalable, and thoroughly tested code to bring cutting-edge ML into production
- Partner with world-class engineers and product managers to deliver safe and smooth autonomous vehicle behaviors
You have:
- MS in Computer Science, Machine Learning, Robotics, or related technical field, or equivalent practical experience
- 3+ years of industry experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments
- Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities
- Expertise with modern deep learning frameworks, such as JAX or PyTorch
We prefer:
- Experience in deep learning, reinforcement learning, and ML systems
- Domain expertise in solving prediction, behaviors, motion planning, or related robotics problems
- ML post-training experience
- Prior industry experience (e.g. internships) in applied ML or software development
- Publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP)
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.
Skills mentioned
Categories
Frequently asked questions
Is the Machine Learning Engineer, Maneuvering Tech position at Waymo remote?
The Machine Learning Engineer, Maneuvering Tech role at Waymo does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Machine Learning Engineer, Maneuvering Tech role?
Waymo is hiring for a full-time Machine Learning Engineer, Maneuvering Tech position.
Which skills are mentioned for the Machine Learning Engineer, Maneuvering Tech job at Waymo?
Detected skill labels include Python, PyTorch, JAX, Reinforcement Learning, C++. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Machine Learning Engineer, Maneuvering Tech position at Waymo?
You can apply for the Machine Learning Engineer, Maneuvering Tech role directly through Waymo's official application link provided on this page.
Similar AI jobs
Senior System Software Engineer - GPU Performance
NVIDIA · fulltime
Applied AI Engineer, Video Agent
HeyGen · fulltime
Machine Learning Engineer - Content Discovery
Suno · fulltime
Critical Infrastructure Engineer
Nebius · fulltime
Senior Machine Learning Engineer
Speechmatics · fulltime
Senior Machine Learning Engineer
Speechmatics · fulltime