Technical Program Manager, Perception Evaluation and Data Efficiency
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they’re going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the World’s Most Experienced Driver in hopes of improving the world's access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.
Waymo takes an integrated approach to building the world’s first fully autonomous driving technology, with researchers, designers, product managers, and technical program managers working side by side. We seek to understand the needs of our users and the opportunities of the technology to ensure we build the best product. From autonomous driving behavior to user interfaces, we work to inspire the product vision and then make it a reality.
In this role you'll:
- Determine and execute on the technical roadmap for the data mining team and evaluation of the different models
- Prioritize and manage issues, risks and dependencies and resolve misalignments with overall scope and schedule and proactively identify and eliminate risks to the perception technical roadmap
- Manage the data mining process across perception models
- Define the metrics to evaluate the benefit of specific data in model performance
- Optimize the data mining process and labeling needs
- Represent the team and drive creation or improvements in cross-functional processes
We'd like you to have:
- 2+ years of perception, computer vision, machine learning or data science experience
- Exceptional communication skills. Influence, collaborate, and deliver solutions in a highly complex, always-changing environment
- Passion about self-driving technology and its potential impact on the world
It's preferred if you have:
- Data science knowledge/experience
- Experience driving the continuous/ongoing performance evaluation of highly complex systems
- Experience with programs where software and hardware interact
- Experience executing projects involving computer vision or machine learning
- Master’s degree