Machine Learning Engineer (Scenes)

Join Waymo, a leader in autonomous vehicle technology, as a Machine Learning Engineer. In this role, you will bridge the gap between cutting-edge machine learning and real-world vehicle performance. You will develop next-generation ML-powered systems, fine-tune state-of-the-art generative models, and write high-quality, scalable code. You will work closely with world-class engineers and product managers to deliver safe and smooth autonomous vehicle behaviors. Enjoy a comprehensive benefits package, including medical, dental, and vision insurance, competitive compensation, and a hybrid work model.

- Bridging the gap between cutting-edge machine learning and real-world vehicle performance by engineering the validation and onboard systems for autonomous vehicles. - Developing next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo’s business. - Fine-tuning, adapting, and benchmarking state-of-the-art generative models to improve autonomous vehicle perception, motion prediction, and trajectory planning.

- MS in Computer Science, Machine Learning, Robotics, or related technical field, or equivalent practical experience - Prior industry experience (e.g. internships) in applied ML or software development - Expertise with modern deep learning frameworks, for example JAX or PyTorch - Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments - Experience in deep learning, reinforcement learning, and ML systems - Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities - Publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP) - Domain expertise in solving motion planning, prediction, or related robotics problems