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60 Waymo Jobs Hiring Near You

Waymo

OEM Platform Integration Engineer

Mountain View, CA · On-site

$158K - $200K/yr

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 ...

Waymo

Partner Audit Remediation Program Manager

$159K - $196K/yr

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 ...

Waymo

Data Scientist

Mountain View, CA · On-site

$170K - $216K/yr

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 ...

Waymo

Regulatory Counsel

Washington, DC · On-site

$251K - $310K/yr

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 ...

Waymo

Director, Global Operations Control

Tempe, AZ · On-site

$285K - $352K/yr

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 ...

Waymo

Senior Product Manager, Simulation

Mountain View, CA · On-site

$241K - $297K/yr

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 ...

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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.

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Infographic showing various job openings at Waymo in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 70% Physical, 26% Hybrid, and 4% Remote job distribution.

Internship - 2024 Summer Intern, PhD Research Scientist, Generative AI

Waymo

Mountain View, CA • On-site

Other

Re-posted 15 hours ago

Job description

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they're going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the Waymo Driver-The World's Most Experienced Driver-to improve everyone's access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.
At Waymo, we are mission-driven and believe deeply in the opportunity of autonomous driving technology to improve mobility and make people's lives better. We are united by purpose and responsibility (for our employees and riders alike). We are looking for kind, committed, employees who have integrity, dream big, work together as one team and create a sense of belonging for one another that is the foundation of our culture. We want each team member to feel welcomed and included in every step of our exciting journey.

The mission of the Waymo Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. Research areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

Waymo interns work alongside leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: leveraging your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

In this role, you'll:

  • Work on open-ended ML research problems for realistic simulation for the autonomous vehicle's driving environment.
  • Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, generative modeling, reinforcement learning, etc) to these problems; scale them to Google-sized data pipelines; and streamline them to run in real-time on the cars.
  • Collaborate with other teams, including the ML infrastructure, simulation and systems engineering teams, as well as Google Brain, DeepMind and academia.
  • Get an opportunity to publish findings in academic conferences and journals, and/or externally publicize the work in public-facing blog posts.

At a minimum we'd like you to have:

  • Currently enrolled in a PhD program in Computer Science, Robotics, similar technical field of study
  • Experience solving problems using Machine Learning with Tensorflow, JAX or equivalent tools
  • Ability to collaborate within and across teams
  • Ability to independently drive a reasonably-scoped, open-ended research project
  • Strong experience programming in Python with robust and efficient code

It's preferred if you have:

  • Strong track record of high quality ML research, for example demonstrated by conference publications in venues such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, etc.
  • Experience applying machine learning to sequence modeling, behavior forecasting, simulation, or robotics
  • Experience with generative models (e.g., autoregressive models, diffusion models, GANs, VAEs, etc.)

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