Machine Learning Engineer, Driver Understanding and Evaluation

The Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as  context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver. 

The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools,  improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack. 

You will:

• Drive innovation in ultra-realistic world simulation for autonomous vehicles. You will develop the latest simulation technologies using foundation models for embodied agents.
• Apply your deep Machine Learning (ML) expertise, in Generative AI (GenAI), to push the boundaries of simulation realism and directly influence the advancement of autonomous driving technology.
• Work with Waymo's foundational AI research team to transfer research into scalable and production-ready solutions.

You have:

• 3+ years of experience with ML software engineering
• 3+ years of experience with Python
• 3+ years of ML software experience with machine learning framework including Pytorch, Tensorflow, Jax/Flax ,

We prefer:

• Experience working with, creating and/or developing ML models for robotics and/or self driving vehicles
• Strong C++ in production setting, with experience in integrating ML models in production system
• Experience in training large scale models on GPU/TPU clusters are strongly preferred

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