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13 May 2022

Software Engineer, Machine Learning, Planner/Behavior Prediction – Trucking

Software Engineer, Machine Learning, Planner/Behavior Prediction – Trucking – Posted by stephgiaretta Mountain View, California, United States

Job Description

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.

As Waymo is becoming a multi-product company, Trucking is our second largest opportunity and will see massive growth in 2022. We believe that commercial trucking, the backbone of our economy, stands to reap untold benefits by deploying autonomous trucks, particularly during long-haul stretches. Roads will be safer. Goods will be cheaper. Truckers will be called upon to use their skills in new ways while the truck itself becomes a trusted navigation partner. 

In this role, you’ll be working with a small but rapidly growing team, benefitting from shared technology of the greater Waymo and Alphabet organizations. Our team is made up of robotics specialists from some of the leading technology companies of our time – with deep expertise in artificial intelligence, machine learning, and real-world deployment of advanced technology.

In this role, you’ll:

  • Work with a creative team of people who are responsible for ensuring that the behavior of our trucks 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, decision trees, 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, perception and systems engineering teams, as well as various research teams such as Waymo research, Google Brain, DeepMind and academia.

At a minimum we’d like you to have:

  • MS/PHD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
  • Experience solving problems using Machine Learning with Tensorflow or equivalent tools
  • Ability to collaborate within and across teams
  • Strong experience programming in C++ with robust and efficient code

It’s preferred if you have:

  • Experience specifically with applying Machine Learning to solve motion planning or related robotics problems
  • Experience with Deep Learning Models (e.g. RNN/LSTM, CNN, VAE, GAN, etc.)

How to Apply

Please click here to apply!

Job expires in 33 days.

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