Software Engineer, Applied Machine Learning, Planner Technology

at  Waymo

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 Waymo Driver—The World’s Most Experienced Driver™—to improve everyone’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.
At Waymo, we are mission-driven and believe deeply in the opportunity of autonomous driving technology to improve mobility and make people’s lives better. We are united by purpose and responsibility (for our employees and riders alike). We are looking for kind, committed, employees who have integrity, dream big, work together as one team and create a sense of belonging for one another that is the foundation of our culture. We want each team member to feel welcomed and included in every step of our exciting journey.

In this role, you’ll:

• Work with a creative team of people who ensure 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), while dealing with noisy, uncertain, and incomplete information.
• Frame the open-ended real-world problems into well-defined ML problems; apply deep learning, reinforcement learning, imitation learning to these problems; scale them to Google-sized data pipelines; and refine them to run in real-time on the cars.

At a minimum we’d like you to have:

• BS in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
• 3+ years of experience solving problems using Machine Learning with Tensorflow or equivalent tools and integrating ML to be part of a production system
• Experience evaluating ML-based systems
• Experience collaborating with different teams
• General software engineering experience programming in C++ with efficient code

It’s preferred if you have:

• Experience applying machine learning to solve motion planning or related robotics problems

• Work with a creative team of people who ensure 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), while dealing with noisy, uncertain, and incomplete information.
• Frame the open-ended real-world problems into well-defined ML problems; apply deep learning, reinforcement learning, imitation learning to these problems; scale them to Google-sized data pipelines; and refine them to run in real-time on the cars