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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 71% Physical, 25% Hybrid, and 4% Remote job distribution.

Staff Machine Learning Engineer, Data Flywheel

Waymo

San Diego, CA • Hybrid

$121K - $146K/yr

Full-time

Re-posted 2 days ago

Job description

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.

In this hybrid role you will report to a Technical Lead Manager.

You will:

  • Create large scale data sets and training recipes, develop methods and recipes for human and machine labeling of data sets
  • Develop methods for data mining and recipes for automated data collection/model update flywheels
  • Develop methods and recipes for evaluating real-world performance of models, and detecting regressions in model updates
  • Understand the data needs of the problem domain team and design scalable infra solutions that support model improvement and product expansion.
  • Design, build and implement ML data infra and validate the changes to support the continuing scaling of VLM data needs.
  • Collaborate with ML infrastructure teams and the problem domain team to address issues and bottlenecks and streamline validation. 

You have:

  • A degree in Computer Science, Engineering, or a related technical field
  • 4+ years of professional experience in the field of software engineering and machine learning
  • Proficiency in C++ and Python
  • Experience in designing distributed systems processing data at scale, especially ML data infra
  • Good foundational understanding of ML principles and SOTA methods
  • Passionate about building world-class ML infrastructure
  • Strong communication skills

We prefer:

  • Experience with implementing data compliance & data governance solutions
  • Experience with VLM/LLMs

Apply