2024 Intern
Phd Research Scientist, Perception/Behavior Prediction
Confirmed live in the last 24 hours

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
  • Ability to collaborate within and across teams
  • Strong experience programming in Python
  • 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 specifically with 3D perception, sequence modeling, multi-modal representation learning or model scaling
  • Experiences with Tensorflow or JAX, or equivalent tools
  • Work with a creative team of people who are responsible for ensuring that the behavior of our cars is safe, smooth, and predictable to other road users, which includes gracefully handling many complex situations involving social aspects (merging, negotiating narrow roads, etc), while dealing with noisy, uncertain, and incomplete information
  • Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation 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