Waymo is looking to develop state-of-the-art ML models to understand complex and dynamic scenes for their autonomous driving technology, aiming to improve access to mobility and enhance safety.
Requirements
- 4+ years of experience in Machine Learning, with a strong focus on computer vision and/or deep learning for perception tasks.
- 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).
- Experience with multi-modal perception systems (e.g., combining camera, lidar, radar data).
- Familiarity with foundation models and techniques for model adaptation (e.g., few-shot learning, transfer learning, domain adaptation).
- Experience in optimizing ML models for on-device deployment and real-time performance.
- Background in autonomous driving, robotics, or a related safety-critical domain.
Responsibilities
- Develop state-of-the-art ML models to understand complex and dynamic scenes, enabling our vehicles to navigate challenges like varied traffic controls, pedestrian and cyclist interactions, construction zones, emergency scenes, and/or mapless driving.
- Own the end-to-end ML pipeline, from data mining and labeling to training and deployment of models.
Other
- 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.
