Staff Machine Learning Engineer, Waymo

• Bachelors in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
• Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch)
• Proficient programming skills (eg: Python, C/C++)
• Strong analytical and problem solving skills
• 7+ years of experience in Machine Learning modeling and/or Autonomous Vehicles systems

Desirable

• In this hybrid role, you will report to a Technical Lead Manager
• The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver’s behavior
• Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks
• These models enable the autonomous vehicle to navigate complex environments safely and efficiently
• The system architecture team handles the onboard contract of the model with the system, including kinematics, interfaces and representations
• Our team’s mission is to work across the stack, building the best setup for the model to drive
• We tackle this through projects in data, modeling, metrics, and the overall planner system
• Tackle challenging real-world problems with ML and engineering solutions
• Use state of the art techniques to design and build ML models, deploy them in the real world on production vehicles
• Design and build the necessary architectures, algorithms, pipelines and evaluation systems on Google's extensive data infrastructure
• Collaborate with researchers, product area owners and engineers to develop safe, smooth planning behavior for all road users & deliver product requirements