Software Engineer, Computer Vision/Deep Learning

The Perception Team at Waymo builds the system that "sees" the world around the self-driving car. We conduct novel research to address real-world perception problems and collaborate with research teams at Alphabet. Here at Waymo, we have access to millions of miles of driving data from a diverse set of sensors, enabling researchers like you to develop complex models and techniques at scale. Improvements deployed to our system can immediately advance our large fleet of autonomous vehicles.

In this role, you'll:

• Experience applying machine learning techniques to build multi-modal multi-task sensor fusion architectures solving autonomous driving problems for our perception stack including object detection and tracking, segmentation, road understanding, flow estimation and future prediction.
• Gain understanding of how machine learning powers a safety critical, large-scale application in a real-world environment
• Design and develop large-scale foundation models trained on vast Waymo data
• Develop data mining, labeling, training and evaluation pipelines to help develop the Waymo Driver
• Collaborate and work in partnership with Perception and Research teams

At a minimum we'd like you to have:

• BS degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
• 3+ years experience
• Experience with Computer Vision and Machine Learning
• Experience with Python

It's preferred if you have:

• PhD degree in Computer Science or a similar discipline, or an equivalent amount of machine learning experience
• Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI
• Experience with C++

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