Role overview
About The Company
Waymo is a pioneering autonomous driving technology company dedicated to transforming mobility and enhancing safety on the roads. Established in 2009 as the Google Self-Driving Car Project, Waymo has evolved into a leader in developing self-driving solutions with a mission to be the world's most trusted driver. The company’s flagship innovation, the Waymo Driver, is the most experienced autonomous driver globally, enabling safer and more accessible transportation options. With a focus on saving lives and reducing traffic-related fatalities, Waymo’s technology powers a fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. The company has accumulated extensive real-world driving experience, having completed over ten million rider-only trips and driven more than 100 million miles on public roads across multiple states, complemented by tens of billions of miles in simulation. Waymo’s commitment to innovation, safety, and reliability positions it at the forefront of autonomous driving advancements.
About The Role
Waymo is seeking a talented and experienced Machine Learning Engineer to join the Mapping team, focusing on automating the creation of high-definition maps that are critical for safe autonomous driving. In this role, you will design, develop, and deploy advanced machine learning models to streamline and scale the mapping process, enabling the Waymo Driver to operate more efficiently across diverse environments. You will work on cutting-edge ML techniques, including Vision-Language Models and Generative AI, to pioneer new solutions in mapping automation. This position offers an opportunity to own the entire model development lifecycle—from data collection and processing to training, evaluation, validation, and deployment—collaborating closely with cross-functional teams to integrate research into scalable, production-ready systems. Your contributions will directly impact Waymo’s mission to make autonomous driving safer and more accessible for everyone.
What you'll work on
- Design, train, and deploy machine learning models to automate the creation of high-resolution maps for autonomous driving applications
- Apply and innovate using state-of-the-art ML techniques, including Vision-Language Models and Generative AI approaches, to improve mapping automation
- Own the end-to-end development process, from data collection and preprocessing to model evaluation, validation, and production deployment
- Collaborate with cross-functional teams, including perception and AI foundation groups, to integrate cutting-edge research into scalable solutions
- Continuously improve models based on performance metrics and real-world testing, ensuring robustness and reliability
- Document methodologies, results, and best practices to facilitate knowledge sharing within the team
Benefits
- Competitive salary within the range of $204,000 to $259,000 USD, commensurate with experience and location
- Participation in Waymo’s discretionary annual bonus program and equity incentive plan
- Comprehensive health, dental, and vision insurance coverage
- Generous paid time off and holiday leave
- Opportunities for professional growth and development in a cutting-edge technology environment
- Flexible work arrangements, including remote work options where applicable
- Access to innovative projects and collaboration with industry-leading experts
Equal Opportunity
Waymo is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applicants of all backgrounds, experiences, and identities to apply. All employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other protected status. We believe that a diverse team drives innovation and excellence, and we are dedicated to creating an environment where everyone can thrive.
What we're looking for
- 4+ years of hands-on experience in Machine Learning, with a focus on computer vision and/or deep learning
- Proficiency in at least one major deep learning framework such as TensorFlow, PyTorch, or JAX
- Strong understanding of machine learning model development lifecycle, including data mining, training, evaluation, and deployment
- B.S. degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience