Waymo
Waymo

60 Waymo Machine Learning Scientist Jobs Hiring Near You

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion ...

Data Scientist

Mountain View, CA ยท On-site

$170K - $216K/yr

Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion ... Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program ...

Senior Data Scientist

Mountain View, CA ยท On-site

$204K - $259K/yr

Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion ... Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program ...

Showing results 41-60

Waymo Jobs Information

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.
Infographic showing various Machine Learning Scientist job openings at Waymo in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 95% Physical, and 5% Remote job distribution.
Machine Learning Engineer, Driver Understanding and Evaluation

Machine Learning Engineer, Driver Understanding and Evaluation

Waymo

Mountain View, CA โ€ข Hybrid

Other

Posted 17 days ago


Job description

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 asย  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.ย 

The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools,ย  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.ย 

You will:

  • Drive innovation in ultra-realistic world simulation for autonomous vehicles. You will develop the latest simulation technologies using foundation models for embodied agents.
  • Apply your deep Machine Learning (ML) expertise, in Generative AI (GenAI), to push the boundaries of simulation realism and directly influence the advancement of autonomous driving technology.
  • Work with Waymo's foundational AI research team to transfer research into scalable and production-ready solutions.

You have:

  • 3+ years of experience with ML software engineering
  • 3+ years of experience with Python
  • 3+ years of ML software experience with machine learning framework including Pytorch, Tensorflow, Jax/Flax ,

We prefer:

  • Experience working with, creating and/or developing ML models for robotics and/or self driving vehicles
  • Strong C++ in production setting, with experience in integrating ML models in production system
  • Experience in training large scale models on GPU/TPU clusters are strongly preferred

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