Machine Learning Engineer (Driver Refinement & Validation, Perception)
- San Francisco, United States
- Mid Level
- Posted
Join Waymo, a leader in autonomous driving technology. As a Machine Learning Engineer, you will be responsible for improving the Waymo Driver's performance by developing and integrating ML models, analyzing real-world behavior, and optimizing models for our hardware. You will have access to millions of miles of driving data and work in a hybrid role with a focus on machine learning and computer vision. Enjoy a comprehensive benefits package, including medical, dental, and vision insurance, competitive compensation, and a hybrid work model.
Responsibilities
- Responsable de l'amélioration des performances du conducteur Waymo en développant des modèles d'apprentissage automatique et en intégrant ces modèles dans le système de conduite.
- Analyse du comportement des systèmes d'apprentissage automatique dans des applications réelles, identification des problèmes et des causes profondes, et développement de solutions.
- Développement de méthodes et de recettes pour l'ajustement fin distribué, permettant à plusieurs développeurs d'améliorer simultanément le modèle.
Requirements
- Experience with Python or C++
- Experience with ML frameworks like PyTorch or JAX
- Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI
Preferred
- Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
- 3+ years experience in Machine Learning and/or Computer Vision
- MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
Pay
USD 175,000 - 215,000
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