Staff Machine Learning Engineer, Waymo

• 6+ years of experience in Machine Learning, with a strong focus on computer vision and/or deep learning for perception tasks
• Proven experience leading and mentoring a team of engineers or researchers
• Deep understanding of state-of-the-art ML techniques for object classification, detection, tracking, pose estimation, and/or action recognition
• Proficiency in at least one major deep learning framework (e.g., TensorFlow, PyTorch, JAX)

Desirable

• The Perception Vulnerable Road Users (VRU) Understanding team focuses on identifying, understanding, and representing VRU objects (pedestrians, cyclists, motorcyclists) and their interactions with other objects
• The team owns VRU perception signals and supports VRU applications across all product areas. Our work improves important product metrics like safety, rider comfort, and cost. We also build the roadmap for VRU signals of onboard systems
• In this hybrid role, you will report to the Technical Lead Manager of VRU Understanding
• Lead modeling efforts for VRU understanding, encompassing nominal, longtail and fine-grained VRU understanding tasks
• Leverage onboard and offboard foundation models to streamline the VRU understanding model stack
• Bring up the model stack for rapid adaptation to new tasks and data
• Establish and maintain a sustainable VRU model stack to facilitate Waymo's multi-platform deployment and scaling goals