Research Scientist, World Modeling

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The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

In this hybrid role, you will report to a Staff Research Scientist.

You will:

• Design and implement generative world modeling solutions to simulate future world states / observations for embodied agents (autonomous vehicles)
• Develop and maintain scalable data pipelines to process data from multiple sources
• Design and implement evaluation strategies for generative world models
• Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc
• Technical communication to both technical and non-technical audiences regarding research motivations and research findings.
• Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical reports and/or publications

You have:

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, or in a similar discipline or equivalent practical experience
• 3+ years of experience with Deep Learning and Generative Models
• Familiarity with major ML Frameworks (JAX, Tensorflow, Pytorch)
• Strong coding skills in Python

We prefer:

• PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, or in a similar discipline or equivalent practical experience
• Publications at top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc.
• Substantial involvement in and contributions to high impact industry AI projects
• Experience in generative models for domains such as world models, images, videos, 3D, human animation, traffic, and/or simulation using techniques such as diffusion or autoregressive model

 

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