Waymo is looking to improve the behavior of the Waymo Driver, the world's most experienced driver, to enhance access to mobility while saving thousands of lives lost to traffic crashes.
Requirements
Experience in applied machine learning including deep learning models, reinforcement learning, feature engineering, loss/reward shaping, data shaping, fine tuning and model evaluation
Proficiency in Python and at least one deep learning frameworks (e.g. PyTorch, JAX, or TensorFlow)
Proficiency in dealing with large scale models and datasets
Experience in integrating ML models into complicated systems
Responsibilities
Design, develop, and implement ML solutions for autonomous vehicle planning including, but not limited to, modeling, reward/loss shaping, finetuning, reinforcement learning, data shaping, etc.
Analyze model performance using data-driven techniques to evaluate and compare different approaches
Stay up-to-date with the latest advancements in autonomous driving and machine learning, and be able quickly prototype, experiment and deploy novel SOTA solutions
Collaborate closely with partner teams such as perception, research, simulation, and evaluation
Other
PhD, Masters or Bachelors degree in Computer Science, Machine Learning, Robotics, or a related field
