The opportunity
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to…
What you'll do
Implement uncertainty aware algorithms that improve the performance of: transformer-based multi-task classifiers
Implement the changes end-to-end, including eval
Ensure both data and model implementation are correct according to the: experiment plan. Pay attention to details about the mechanics of the modeling setup
Currently enrolled in a PhD program in Computer Science, Robotics, Electrical: Engineering, or a related quantitative field
Strong programming proficiency in Python and hands-on experience with deep: learning frameworks (e.g., TensorFlow, JAX)
Solid theoretical understanding of machine learning and deep learning: fundamentals, including debugging transformer based models with TensorBoard metrics
What they're looking for
- Familiarity with software development best practices, including version control
- Uncertainty measurement in deep learning model development
- Hands-on experience using data to improve model performance, as opposed to: only focusing on architectural model improvements
- Help solve challenging problems with a direct impact on the company
