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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 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 70% Physical, 26% Hybrid, and 4% Remote job distribution.

Staff Machine Learning Engineer, Simulation

Waymo

Mountain View, NY

Full-time

Re-posted 21 days ago

Job description

The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack.

In this hybrid role, you will report to an Engineering Manager 

You will:

  • Report into the TLM for the Learned Metrics Team
  • Develop ML models that assess our autonomous vehicle's behavior.
  • Develop ML infrastructure to support performant models.
  • Collaborate across teams to bring state-of-the-art to production.

You have:

  • BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience
  • 5+ years of experience building productionized ML models
  • Code and design skills: comfort building production systems (Python / C++)
  • Background in applied Deep Learning
  • A track record in improving model quality

We prefer:

  • 8+ years of experience building productionized ML models
  • Experience in reinforcement learning, transfer learning, or learning.
  • Experience with large scale data and models

Apply