About the role
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Waymo Mapping team's goal is to build a high resolution map of the world to support safe autonomous driving. We work on creating the map using a combination of automatic and manual techniques and build the infrastructure to store, process, and distribute the map. Our team collaborates with several other Waymo teams that consume map data.
In this role, you will:
- Design, train, and deploy machine learning models to automate the creation of Waymo's HD maps, unlocking scale for the Waymo Driver.
- Apply and advance state-of-the-art ML techniques, including Vision-Language Models (VLMs) and other Generative AI approaches, to pioneer new solutions in mapping automation.
- Own the complete model development lifecycle, from data mining and processing to model training, evaluation, validation, and productionization.
- Collaborate closely with partner ML teams, such as Waymo Perception and Waymo AI Foundations, to adapt cutting-edge research into scalable, reliable, and production-grade solutions.
You have:
- 4+ years of hands-on experience in Machine Learning, with a strong focus on computer vision and/or deep learning.
- Proficiency in at least one major deep learning framework (e.g., TensorFlow, PyTorch, JAX).
- Demonstrated experience owning problems end-to-end and working across various parts of the systems stack to deliver results.
- B.S. in Computer Science, a similar technical field, or equivalent practical experience.
It's a Bonus if you have:
- M.S. or Ph.D. degree in Computer Science or a related discipline.
- Familiarity with foundation models and techniques for model adaptation (e.g., few-shot learning, transfer learning, domain adaptation).
- A track record of publications in top-tier ML/CV conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV).
- Experience with C++.
- Direct experience with mapping or GIS is a bonus but not required.
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Aplyr's read
Waymo is a leader in autonomous vehicle technology, attracting talent passionate about transforming transportation with innovative self-driving solutions.
What's promising
- •Waymo benefits from Alphabet's resources, providing robust support for research and development.
- •The company is pioneering in autonomous vehicle technology, setting industry standards.
- •Waymo's diverse hiring across roles indicates a comprehensive approach to scaling operations.
What to watch
- •Regulatory hurdles could delay widespread adoption of self-driving technology.
- •High competition in the autonomous vehicle market may impact Waymo's market share.
- •Operational challenges in scaling ride-hailing services could affect growth.
Why Waymo
- •Waymo's extensive real-world testing gives it a competitive edge in data-driven development.
- •The company's collaboration with Alphabet enhances its technological capabilities.
- •Waymo's focus on safety and reliability differentiates it in the autonomous vehicle sector.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Waymo
Waymo is a self-driving technology company that aims to make it safe and easy for people and things to get where they’re going. As a subsidiary of Alphabet Inc., Waymo is at the forefront of autonomous vehicle technology, significantly impacting the future of transportation.
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