Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

The Sensor Pipelines team applies sensor fusion and ML approaches to address critical challenges in Perception; like detections of Collisions, Antagonistic Behaviors, Sensing Occlusions, etc. We conduct 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 researchers like you to develop complex models and techniques at scale.

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

You will:

• Apply sensor fusion, machine learning techniques to solve real-world challenges.
• Develop and deploy machine learning models, including vision language models (VLMs).
• Develop data mining, labeling, training and eval pipelines to support the onboard development.
• Collaborate and work in partnership with product, infra and research teams across Waymo.

You have:

• Bachelors in Computer Science or a similar discipline, or an equivalent amount of experience
• 5+ years experience in Machine Learning and/or Autonomous Vehicles
• Experience with Python
• Hands-on experience with deep learning frameworks (ie: PyTorch, Tensorflow, etc)

We prefer:

• MS or PhD degree in Computer Science, Robotics or a similar discipline
• Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, or PAMI
• Github repositories or Tech Blogs of LLMs/ VLMs
• Experience with C++

#LI-Hybrid

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.