Senior Machine Learning Engineer, Multimodal Perception
- Pay
- $213,000 – $263,000 per year
- Location
- Mountain View, CA
- Listed
- Today
Role overview
Perception-focused MLE role dedicated to multi-modal sensor fusion, multi-task deep learning architectures for vehicle semantics and signal detection, dynamic high-resolution vision backbones, and large-scale automated data engines.
In this hybrid role, you will report to the Technical Lead Manager of the Special Vehicle Compliance team.
You will
- Architect, train, and optimize multi-task deep learning models (PyTorch / JAX) across multi-modal sensor streams.
- Build automated data mining pipelines, active learning loops, hard-example curation, and auto-labeling systems.
- Develop high-resolution vision architectures and spatial-temporal transformer backbones.
- Leverage multimodal foundation models for automated data curation, synthetic edge-case generation, and failure triage.
- Profile and optimize models for efficient onboard accelerator inference.
You have
- 2-5+ years training and deploying production vision or multi-modal deep learning models.
- Experience with multi-modal sensor fusion (Camera + LiDAR + Audio), multi-task learning (MTL), transformer architectures, and PyTorch / JAX.
- Experience building large-scale data curation pipelines, active learning loops, and auto-labeling systems.
- Fluency with modern AI developer tools and foundation model workflows for fast prototyping.
Pay and benefits
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.
Salary Range $213,000 - $263,000 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 Special Vehicle Compliance team develops the multi-modal perception, semantic reasoning, and driving intelligence that enables the autonomous vehicle to safely interact with high-stakes road actors. We are actively advancing our systems toward data-driven learned policies and end-to-end architectures, powered by large-scale closed-loop data engines.
From Waymo's careers page, first listed on Rolev.ai on November 12, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Senior Machine Learning Engineer, Multimodal Perception role at Waymo?
The Senior Machine Learning Engineer, Multimodal Perception posting at Waymo states compensation of $213,000 – $263,000 per year. Final pay may depend on location, experience, and interview evaluation on Waymo's official career site.
Where is the Senior Machine Learning Engineer, Multimodal Perception job at Waymo located?
This Senior Machine Learning Engineer, Multimodal 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 Senior Machine Learning Engineer, Multimodal 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.