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60 Waymo Machine Learning Scientist Jobs Hiring Near You

Waymo

The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing ... Lead and drive science on best practices around clustering, filtering, de-duplication, long-tail ...

Waymo

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

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 ...

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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 other companies are hiring for Machine Learning Scientist jobs?

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 August 2026, with employment types broken down into 100% Full Time. Highlights an 71% Physical, 26% Hybrid, and 3% Remote job distribution.

Machine Learning Engineer (Infra), Driver Understanding and Evaluation

Waymo

Mountain View, CA • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The role involves building scalable machine learning systems for evaluating driving behaviors and optimizing machine learning models for autonomous vehicles.
Responsibilities:
• Build scalable systems for training and fine-tuning large-scale models to evaluate interesting driving behaviors.
• Work at the intersection of data engineering, model development, and simulation Provide guidance on architectural decisions and technical directions.
• Own large, complex systems, driving architectures that meet technical and business objectives.
• Contribute to the production and optimization of machine learning models aiming to assess Waymo’s expansive fleet of vehicles that cumulatively travel millions of miles.
• Design and scale large distributed systems covering the ML lifecycle, supporting planet-scale dataset generation, model training, and evaluation.
• Collaborate cross-functionally to derive performance and system-level requirements for large ML systems.
• Translate product/business goals into measurable technical deliverables, ensuring system component alignment.
Qualifications:
Required:
• M.S. or Ph.D. degree Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience.
• 3+ years in machine learning infrastructure such as developing, designing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model.
• A history of contributions to machine learning tooling and frameworks e.g. PyTorch, Jax, Tensorflow, Ray, or similar. The candidate should understand both the user facing API and the internal workings.
• Strong expertise in distributed training techniques, including gradient sharding and optimization strategies for scaling large models across ML accelerator profiling tools to uncover performance bottlenecks.
Preferred:
• 5+ years in machine learning infrastructure such as developing, designing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model.
• Experience in the autonomous vehicles domain, robotics, or complex simulation environments.
• Familiarity with large-scale simulation platforms and their integration with ML training workflows.
Company:
Waymo is a mobility technology company that improves transportation by developing self-driving solutions for travelers and daily commuters. It is a sub-organization of Alphabet. Founded in 2009, the company is headquartered in Mountain View, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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