ML Software Engineer, Online Maps

Aurora, a leading autonomous vehicle technology company, is seeking a Staff Machine Learning Engineer to join their Maps ML team. This role is crucial in developing and implementing advanced perception algorithms that power the Aurora Driver - their autonomous driving system.

The position offers an opportunity to work at the cutting edge of autonomous vehicle technology, specifically focusing on providing real-time map data updates to ensure safe and efficient autonomous operations. As a Staff ML Engineer, you'll be responsible for leading and collaborating with team members to develop state-of-the-art deep learning models, implement novel verification techniques, and ensure the reliability of online mapping technology.

The ideal candidate will bring extensive experience in machine learning, computer vision, and software engineering, with proficiency in Python and/or C++. You'll work with modern deep learning frameworks and contribute to critical systems that enable autonomous driving capabilities. This role offers competitive compensation ranging from $162,000 to $260,000 per year, plus bonus and equity opportunities.

Aurora's mission is to deliver self-driving technology safely, quickly, and broadly, creating a new era in mobility and logistics. The company culture emphasizes integrity, ambitious goals, and collaborative success. Located in Mountain View, California, you'll be part of a diverse team working on complex problems that have real-world impact.

This role provides an excellent opportunity for experienced ML engineers who want to make a significant impact in the autonomous vehicle industry while working with cutting-edge technology and contributing to solutions that will revolutionize transportation and logistics. The position offers both technical challenges and leadership opportunities, making it ideal for those looking to advance their careers in machine learning and autonomous systems.