2019-02-12 Waymo
Intern, Software Engineering, Machine Learning Infrastructure
Mountain View, California, United States

Waymo is the self-driving technology company with a mission to make it safe and easy for people and things to move around. Building on software and sensor technology developed at Google, Waymo is now launching the world’s first fully self-driving transportation service that will take members of the public from A to B at the touch of a button.

Software Engineering builds the brains of Waymo's fully self-driving vehicles. Our software allows our vehicles to perceive the world around them, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you. 

The Machine Learning Infrastructure team at Waymo builds the industrial scale machine learning platform used by practitioners developing software for our self-driving car. We provide data labeling tools and services, large scale training and evaluation frameworks, and low latency neural net inference runtimes for onboard execution and simulation. We work hand in hand with machine learning experts in all parts of the company including perception, behavior prediction, planning, mapping, hardware, and simulation.

In this Machine Learning Infrastructure internship, you'll:

  • Learn about and contribute to our machine learning infrastructure, frameworks, and libraries

At a minimum we would like you to have:

  • Experience in at least one of: Python, Javascript/Typescript, C++

It’s preferred if you have:

  • Experience in UI/UX, Big data, Tensorflow, or ML basics
At Waymo, we don’t just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.
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