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60 Waymo Staff Machine Learning Engineer Jobs Hiring Near You

Waymo

Machine Learning Engineer, ML Flywheel

Mountain View, CA · Hybrid

$97K - $129K/yr

In this hybrid role, you will report to a Technical Lead Manager, Staff Software Engineer. You will: * Implement new features in Waymo's data flywheel to scalably process ML data * Develop robust ML ...

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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.

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 Staff Machine Learning Engineer job openings at Waymo in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 71% Physical, 25% Hybrid, and 4% Remote job distribution.

Machine Learning Engineer, Simulation Realism

Waymo

Mountain View, CA • Hybrid

Full-time

Re-posted 23 days ago

Job description

The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Our team is a diverse,, and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions.

To increase the fidelity and steerability of our simulations, we employ the latest ML technologies such as large foundation models trained on our datasets and diffusion technology. We also invest in capable infrastructure that allows us to quickly set up and roll out multiple scenarios to rigorously test our autonomous driving systems.

In this hybrid role, you will report to a Senior Engineering Manager

You will:

  • Be part of a world-class applied ML team dedicated to advancing ultra-realistic autonomous vehicle (AV) simulations by leveraging Generative AI technologies.
  • Apply deep domain expertise in ML, especially GenAI, to push the boundaries of simulation realism and autonomous driving capabilities.
  • Independently manage the entire lifecycle of product innovations, from prototyping to productization, scaling simulations and data processing systems.
  • Work within a collaborative applied ML engineering team that transforms research ideas into production-ready solutions.

You have:

  • 7+ years experience in applied Deep Learning
  • 7+ years coding and design skills
  • 7+ years of experience solving complex production problems using state-of-the-art ML techniques
  • 7+ years of experience taking research to production
  • Expertise in Data Analysis or Data Science

We prefer:

  • PhD degree in Computer Science or a similar discipline
  • Direct experience in Generative AI, including multi-modal foundation models and Diffusion models.

Apply