Senior Machine Learning Engineer (Predictive Planner, Systems Architect)

Waymo

San Francisco, United States Posted September 18, 2026

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Hybrid Full-time Senior
Salary Range

$213,000 - $263,000

Job Description

Join Waymo, the leading autonomous driving technology company. As a Senior Machine Learning Engineer, you will work on cutting-edge machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. You will tackle real-world problems with ML and engineering solutions, design and build necessary architectures, algorithms, pipelines, and evaluation systems, and collaborate with researchers, product area owners, and engineers. Enjoy a comprehensive benefits package, including medical, dental, and vision insurance, competitive compensation, and a hybrid work model.

  • Concevoir et construire des modèles d'apprentissage automatique, les déployer dans le monde réel sur des véhicules de production.
  • Collaborer avec des chercheurs, des propriétaires de produits et des ingénieurs pour développer un comportement de planification sûr et fluide pour tous les usagers de la route.
  • Travailler à travers la pile technologique, en construisant la meilleure configuration pour le modèle de conduite.
  • 4+ years of experience in Machine Learning modeling and/or Autonomous Vehicles systems
  • Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch)
  • Strong analytical and problem solving skills
  • Bachelors in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
  • Proficient programming skills (eg: Python, C/C++)
  • Experience with performance optimization of deep models, including with respect to specific hardware architectures
  • Experience applying or evaluating ML-based systems in production environments
  • General software engineering experience solving motion planning or related robotics problems
  • Prior software development or ML research industry experience (including internships)
  • Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP
  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field
Required Skills
machine learning collaboration deep learning TensorFlow PyTorch problem solving Python C++ performance optimization software development compensation
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