Senior Software Engineer, Deep Learning

Waymo is looking for ML engineers with the experience and passion to solve the autonomous vehicle driving problem with ML. We have had incredible success applying state-of-the art techniques to the driving problem in the last several years (e.g. publications (e.g. publications Wayformers, SceneTransformers). Now, we are ready to increase ML's usage to the next level. We are looking for experts in scaling ML model usage, with experience with LLMs, Vision LMs, NLP, parameter efficient fine-tuning and performance optimization, working with TPUs on Alphabet's ML stack.

In this hybrid role, you will report to a Staff Member on our Behavior team.

You will:

• Design and implement next-gen generative models to improve autonomous driving
• Follow and advance state-of-the-art literature in the generative modeling and autonomous vehicle space
• Develop novel ways to inspect, understand, filter, improve and synthesize data
• Collaborate with a team of researchers and engineers to apply advanced generative models to production simulators or onboard use cases

You have:

• PhD degree in Computer Science, Machine Learning, Robotics or a similar discipline, or an equivalent amount of deep learning experience
• Experience with Deep Learning and Generative Models
• Coding skills, specifically Python/C++

We prefer:

• 3+ years of deep learning experience
• 5+ Publications on top-tier conferences such as: CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL/ACL/EMNLP, etc.
• Experience in generative models for domains such as images, videos, 3D, human animation, traffic, simulation using techniques such as diffusion or autoregressive models

#LI-Hybrid