Frontend Engineer, Machine Learning Data Infrastructure
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.
Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it 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.
Machine learning is at the core of solving autonomous driving technology, and data is the rocket fuel of machine learning. Large-scale datasets are critical to training and evaluating state-of-the-art machine learning systems for driving. The Data Warehouse team, part of the Waymo ML Infra team, empowers teams at Waymo to create, use, and understand these datasets. Example projects tackled by the team include:
- Building state-of-the-art data analysis and visualization tools to unlock new insights from ML datasets that helps improve autonomous driving ML models.
- Building web-based data labeling tools with optimized UI/UX to enable Waymo’s labelers to annotate the data efficiently.
- Designing and building unified ML workflow applications that improves efficiency of data mining, labeling, training, evaluation and system management.
You will be working closely with talented Product Managers, UX designers, ML Engineers and other Infra Engineers to build and innovate on ML tools, to further scale technology advancement efficiently. These user-facing tools and infrastructures are used by every part of Waymo, including Engineers, PMs, Data Scientists, and Research. Join us in this ride to the future, and bring autonomous driving technology to the world together.
Prior experience with ML is not required! At a minimum, we’d like you to have:
- A BS or MS in Computer Science, similar technical field of study, or equivalent practical experience.
- Engineering experience in building frontend web apps.
- Experience with modern web stack (e.g. Typescript, Angular, React).
- Passionate about building web app tools, infrastructure and frameworks.
It’s preferred if you have:
- Experience with data visualization and data analysis tools.
- Experience with three.js, or building 3D user interfaces using other frameworks.
- Experience with languages such as C++ or Java.