2024 Intern
Phd Research Scientist, Generative AI
Posted on 10/11/2023

1,001-5,000 employees

Autonomous driving technology for safer mobility
Company Overview
Waymo stands out as a leader in the autonomous driving technology industry, with a clear mission to enhance mobility and safety. Their proprietary technology, the Waymo Driver, is designed to eliminate the frustrations and concerns associated with traditional driving, thereby offering a new level of freedom to users. The company's commitment to transforming lives and saving thousands from traffic-related fatalities underscores its industry leadership and competitive advantage.
AI & Machine Learning
Data & Analytics
Industrial & Manufacturing

Company Stage


Total Funding





Mountain View, California

Growth & Insights

6 month growth


1 year growth


2 year growth

Mountain View, CA, USA
Experience Level
Desired Skills
Lab & Research
AI & Machine Learning
  • Currently enrolled in a PhD program in Computer Science, Robotics, similar technical field of study
  • Experience solving problems using Machine Learning with Tensorflow, JAX or equivalent tools
  • Ability to collaborate within and across teams
  • Ability to independently drive a reasonably-scoped, open-ended research project
  • Strong experience programming in Python with robust and efficient code
  • Strong track record of high quality ML research, for example demonstrated by conference publications in venues such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, etc
  • Experience applying machine learning to sequence modeling, behavior forecasting, simulation, or robotics
  • Experience with generative models (e.g., autoregressive models, diffusion models, GANs, VAEs, etc.)
  • Work on open-ended ML research problems for realistic simulation for the autonomous vehicle's driving environment
  • Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, generative modeling, reinforcement learning, etc) to these problems; scale them to Google-sized data pipelines; and streamline them to run in real-time on the cars
  • Collaborate with other teams, including the ML infrastructure, simulation and systems engineering teams, as well as Google Brain, DeepMind and academia
  • Get an opportunity to publish findings in academic conferences and journals, and/or externally publicize the work in public-facing blog posts