Zoox, a pioneering company in the autonomous vehicle industry, is seeking a Senior/Staff Machine Learning Engineer to join their Prediction & Behavior ML team. This role is at the forefront of developing cutting-edge algorithms for autonomous driving in complex urban environments.
The Prediction & Behavior ML team at Zoox is responsible for creating machine-learned models that comprehend the entire scene around the vehicle and forecast behavior for other agents, the Zoox vehicle itself, and various offline applications. This position offers an exciting opportunity to work on deep learning algorithms that learn behaviors from data and apply them both on-vehicle and in offline scenarios.
As a Senior/Staff Machine Learning Engineer, you will:
The ideal candidate will have a strong background in computer science or a related field, with extensive experience in deep learning, production ML pipelines, and algorithm design. Proficiency in C++ or Python (with C++ understanding) is required, along with robust mathematics skills.
Zoox offers a competitive compensation package, including a salary range of $221,000 to $319,000, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The company also provides comprehensive benefits, including various types of paid time off, health insurance, and long-term care options.
Join Zoox in their mission to revolutionize urban mobility with autonomous vehicles. This role presents a unique opportunity to work at the intersection of robotics, machine learning, and design, contributing to the next generation of mobility-as-a-service in urban environments. If you're passionate about pushing the boundaries of technology and want to be part of a fast-moving, execution-oriented team, this could be the perfect role for you.