Design and implement full-stack solutions to build and improve our ground truth datasets.
Build highly interactive tools to enable people to efficiently and accurately annotate raw sensor data for consumption by machine learning and validation teams.
Work closely with machine learning engineers to enable R&D efforts and improve existing systems.
Build data systems to support validation of our vehicle’s perception and planning systems.
Experience building modern frontends using React, Webpack, Babel, or similar tools
Experience building scalable backend APIs using Go, Node.js, or similar languages
BS, MS or PhD in CS, Math, Physics, or equivalent real-world experience
Strong understanding of HTML and CSS fundamentals
Experience working with relational databases
Passionate about self-driving technology and its potential impact on the world
Experience working with Docker development and deployment workflows
Experience installing, configuring, and managing AWS or on-premises server infrastructure
Experience building interactive tools that are core to people’s daily work.
Experience or interest in machine learning technologies.