Senior Machine Learning Engineer, Perception, Vision-Language Models
- Pay
- $204,000 – $259,000 per year
- Location
- Mountain View, CA USA; San Francisco, CA USA;
- Listed
- Today
You will
- Architect and train large-scale, onboard ML perception models that are instrumental to ensuring vehicle safety and regulatory compliance.
- Drive cross-functional collaboration to engineer robust, high-reliability training pipelines within a dynamic, rapid-delivery environment.
- Leverage deep computer vision expertise to design novel, custom architectures from first principles to solve complex perception challenges.
- Contribute to a vibrant and positive team culture where diverse skill sets and backgrounds are valued. Support the growth of junior engineers and foster a high-performing, collaborative team environment.
You have
- BS or MS in Computer Vision, Machine Learning, Robotics, or a related field.
- 5+ years of applied industry experience in autonomous vehicles, robotics, or complex ML systems.
- Fluency in Python or C++, with deep hands-on expertise in PyTorch or Jax for matrix manipulation and module implementation.
- Deep understanding and proven practical experience with model distillation frameworks and quantization techniques for real-time compute constraints.
- Demonstrated hands-on experience building, training, or deploying Multimodal Foundation Models or Vision-Language Models (VLMs).
We prefer
- PhD in Computer Vision, Machine Learning, Robotics, or a related field.
- Hands-on experience managing and optimizing large-scale teacher-student training loops.
- A proven track record of successfully deploying Vision-Language queries in highly constrained, real-time environments.
- Experience with large-scale distributed training, Parameter-Efficient Fine-Tuning (PEFT), or Reinforcement Learning from Human Feedback (RLHF) for Foundation Models and VLMs.
- Deep expertise in long-context temporal reasoning for sequential decision-making or complex video understanding.
- First-author publications in premier computer vision and machine learning conferences, such as CVPR, NeurIPS, ICCV, or ECCV.
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 $204,000 - $259,000 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 Semantics Onboard team is a specialized subgroup within the Perception organization at Waymo. Our mission is to bring the immense reasoning power and innate world knowledge of massive foundation models directly onto the Waymo Driver. We focus on building an onboard multi-task, multimodal perception model designed to tackle highly complex and unpredictable "long-tail" scenarios.
By leveraging advanced model distillation and quantization, we empower the autonomous system with zero-shot and few-shot generalization to adapt to rare edge cases safely and reliably. Our work is at the absolute cutting edge of autonomous safety, turning cloud-scale reasoning into real-time, onboard intelligence without sacrificing the strict computational and latency constraints of the vehicle.
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, Perception, Vision-Language Models role at Waymo?
The Senior Machine Learning Engineer, Perception, Vision-Language Models posting at Waymo states compensation of $204,000 – $259,000 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, Perception, Vision-Language Models job at Waymo located?
This Senior Machine Learning Engineer, Perception, Vision-Language Models position at Waymo is located in Mountain View, CA USA; San Francisco, CA USA;. Always check Waymo's application page for specific state eligibility or relocation policies.
How do I apply for the Senior Machine Learning Engineer, Perception, Vision-Language Models 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.