Machine Learning Engineer, Behavior Planning

Aurora is at the forefront of revolutionizing transportation through self-driving technology with their Aurora Driver platform. As a Machine Learning Engineer on the Motion Planning Team, you'll be instrumental in developing sophisticated ML approaches for autonomous vehicle behavior planning.

The role combines cutting-edge machine learning with practical robotics applications, focusing on creating safe and efficient trajectory planning systems for self-driving vehicles. You'll work on complex problems involving multi-actor interactions and uncertainty management in real-world scenarios.

The position requires expertise in both classical and modern machine learning approaches, including transformer networks, CNNs, and reinforcement learning. Strong programming skills in C++ and Python are essential, along with experience in modern ML frameworks and GPU toolkits.

Aurora offers a competitive compensation package with a base salary range of $105K-$157K, plus bonus and equity opportunities. The company maintains a strong commitment to inclusion and diversity, fostering a collaborative environment where talented individuals can contribute to making transportation safer and more efficient.

The role is based in Pittsburgh, PA, where you'll join a team of passionate experts working on transforming the future of transportation. Aurora's mission focuses on safely and broadly delivering the benefits of self-driving technology, making it an exciting opportunity for those interested in combining ML expertise with real-world autonomous systems.

This position offers the chance to work on groundbreaking technology while solving complex challenges in motion planning, behavior prediction, and decision-making systems. The ideal candidate will have both the technical expertise and the vision to help shape the future of autonomous vehicles.