Machine Learning Engineer, Prediction & Planning

Highlights

• Build next-gen ML prediction and planning for the Waymo Driver.
• Predict future world state to enable safe navigation in complex environments.
• Turn massive driving data into robust deep networks for real-world driving.

What they offer

• Discretionary annual bonus program
• Equity incentive plan
• Generous Company benefits program

Ideal candidate

ML engineer passionate about autonomous driving who loves turning open-ended real-world challenges into deployed models and collaborating to create safe, smooth behavior for all road users.

Requirements

• BS in Computer Science, ML, Robotics or similar technical field
• 2+ years of experience in Machine Learning modeling and/or Autonomous Vehicles
• Demonstrated contributions to the ML community through publications, open-source projects or significant industry impact
• Hands-on experience with modern deep learning libraries (e.g. TensorFlow, JAX, PyTorch)
• Proficient programming skills (e.g. Python, C/C++)
• Strong analytical and debugging skills
• MS or PhD in Computer Science, Machine Learning, Robotics or related field preferred
• Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL or EMNLP preferred
• General software engineering experience solving motion planning or related robotics problems preferred
• Experience applying or evaluating ML-based systems in production environments preferred
• Experience with performance optimization of deep models, including with respect to specific hardware architectures preferred