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60 Waymo Machine Learning Scientist Jobs Hiring Near You

Waymo

Machine Learning Engineer - Mapping

Mountain View, CA · On-site

$204K - $259K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... B.S. in Computer Science, a similar technical field, or equivalent practical experience. It's a ...

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What is it like to work at Waymo?

Waymo is a technology company that values innovation, collaboration, and safety, fostering an environment where employees can work together to develop and implement autonomous driving solutions.

The company's structure is organized into various teams, including software engineering, hardware development, and operations, allowing employees to specialize in their areas of expertise and contribute to the development of self-driving cars. Waymo's work environment is designed to encourage creativity and experimentation, with access to cutting-edge technology and resources.

Working at Waymo may appeal to individuals who are passionate about transforming the transportation industry and have a strong interest in artificial intelligence, machine learning, and software development, as the company offers opportunities to work on complex technical challenges and make a meaningful impact on society.

What makes Waymo an attractive place to work?

Waymo is a leading autonomous driving technology company, a subsidiary of Alphabet Inc., and a pioneer in the development of self-driving cars. The company's workplace is characterized by a culture of innovation, collaboration, and experimentation, with opportunities for engineers and researchers to work on cutting-edge projects and contribute to the advancement of autonomous driving technology. Joining Waymo offers the chance to be part of a team that is shaping the future of transportation and mobility, with opportunities for professional growth, learning, and making a meaningful impact on society.
What are the most popular jobs at Waymo?
What are the most popular categories at Waymo?
Infographic showing various Machine Learning Scientist job openings at Waymo in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 97% Physical, and 3% Remote job distribution.
Staff Machine Learning Engineer, DUE

Staff Machine Learning Engineer, DUE

Waymo

Mountain View, CA

Other

Posted 7 days ago

Job description

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're an AI Engineer who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. 

The Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as  context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver. 

The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools,  improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack. 

In this role, you will

  • Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows
  • Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection
  • Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a Reinforcement Learning from human preference-based data collection  and evaluation system. 
  • Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback
  • Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles.
  • Drive technical direction, and provide technical inputs and guidance to the team.
  • Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives.
  • Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.

At a minimum we would like you to have:

  • B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience
  • Strong coding experience in C++ and/or Python.
  • Experience in at least one of: Foundational Models, VLM, Deep Learning
  • 5+ years of experience with hands-on experience in machine learning projects
  • Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale

It's preferred if you have:

  • M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning.
  • Deep learning experience with Transformers
  • Gen AI LLM/VLM experience
  • Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization.
  • Large-scale data processing and analytical skills.

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