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60 Waymo Machine Learning Scientist Jobs Hiring Near You

Waymo

Data Scientist

San Diego, CA

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 ...

Waymo

Senior Data Scientist

San Diego, CA · On-site

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 ...

Waymo

Data Scientist

Mountain View, CA · 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 ...

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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 Machine Learning Scientist job openings at Waymo in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 97% Physical, and 3% Remote job distribution.
Perception Machine Learning Engineer

Perception Machine Learning Engineer

Waymo

San Diego, CA

Other

Posted 19 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:

  • Apply machine learning techniques to build multi-modal sensor fusion architectures and spatial-temporal representation learners for object detection and tracking, occupancy and semantic segmentation, road understanding, etc.
  • Develop scalable recipes for large data, large model training running on Alphabet's compute infrastructure, create methods and recipes for pre-training and post-training.
  • Develop methods and recipes for distributed fine-tuning enabling multiple developers to simultaneously improve the model, develop methods and recipes to avoid regression against a production system.
  • Develop and maintain model evaluation recipes and metrics for measuring and improving performance of pre-trained and fine-tuned models

You have:

  • Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
  • 3+ years experience in Machine Learning and/or Computer Vision
  • Experience with Python
  • Experience with ML frameworks like PyTorch or JAX

We prefer:

  • MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
  • Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI
  • Experience with C++

Apply