Staff Machine Learning Engineer, Maneuvering Tech
- Status
- Open
- Remote policy
- Not stated
- Employment type
- Not stated
- Salary
- 251,000-310,000 USD / hour
- Categories
- Planner (7LU)
- Source
- waymo
- First observed
- 2026-08-19 07:55 UTC
- Last seen
- 2026-10-02 00:10 UTC
- Source claims posted
- 2026-06-11 16:37 UTC
- Consecutive misses
- 0 of 3
What the posting says
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
8+ 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 hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.
Hourly PhD Pay
$251,000—$310,000 USD
Quality
- + Salary range stated weight 35%
- x Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Based on 9 observation(s).
- + Days open - fineOpen for 43 days so far
- + Reopen count - fineNever reopened
- + Salary range removed after publication - fineSalary range has not been removed since publication
- + Salary range narrowed - fineSalary range has not narrowed since publication
- + Missing/reappear cycles - fineNo missing-then-reappeared cycles observed
Timeline
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#177502 2026-08-19 07:55 UTCPublished
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#193975 2026-08-19 19:29 UTCModified
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source_updated_at
2026-08-14T12:42:55-04:00->2026-08-19T15:18:48-04:00
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source_updated_at
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#311931 2026-08-23 23:29 UTCModified
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Remote policy
Not stated->Hybrid -
Salary range
251,000-310,000 USD->251,000-310,000 USD / year
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Remote policy
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#374972 2026-08-26 03:25 UTCModified
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source_updated_at
2026-08-19T15:18:48-04:00->2026-08-25T21:06:08-04:00
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source_updated_at
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#536575 2026-09-02 21:41 UTCModified
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source_updated_at
2026-08-25T21:06:08-04:00->2026-09-02T15:45:01-04:00
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source_updated_at
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#686369 2026-09-10 20:22 UTCModified
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Title
Staff Software Engineer, Planner->Staff Software Engineer, Manuevering Tech -
Locations
Mountain View, California, San Francisco, California, Pittsburgh, Pennsylvania->Mountain View, CA, USA, San Francisco, CA, USA, Pittsburgh, PA, USA -
source_updated_at
2026-09-02T15:45:01-04:00->2026-09-10T14:40:17-04:00
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Title
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#913446 2026-09-22 02:28 UTCModified
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source_updated_at
2026-09-10T14:40:17-04:00->2026-09-21T17:51:41-04:00
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source_updated_at
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#947434 2026-09-23 14:39 UTCModified
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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...->Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google... -
Salary range
251,000-310,000 USD / year->251,000-310,000 USD / hour -
source_updated_at
2026-09-21T17:51:41-04:00->2026-09-23T09:56:04-04:00
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Description
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#1123421 2026-10-02 00:10 UTCModified
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Title
Staff Software Engineer, Manuevering Tech->Staff Machine Learning Engineer, Maneuvering Tech -
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...->Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google... -
Remote policy
Hybrid->Not stated -
source_updated_at
2026-09-23T09:56:04-04:00->2026-10-01T18:05:50-04:00
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Title