ML Research Engineer, Interpretable AI for End-to-End Automated Driving

We are seeking a Machine Learning Researcher to contribute to research on interpretable AI methods for learning-based automated driving systems. The role involves conducting research, developing and evaluating structured representations of driving behavior, and collaborating with researchers and engineers across different teams.

Requirements

• Master's or PhD or equivalent research experience in Machine Learning, Robotics, Computer Vision, or a related quantitative field.
• A demonstrated ability to conduct independent research and contribute to peer-reviewed publications at leading venues.
• Strong foundation in modern machine learning, including deep learning, representation learning, and sequence or policy modeling.
• Experience implementing and evaluating ML models using Python (and familiarity with C++ in research or experimental contexts).
• Interest in or experience with end-to-end learning approaches for robotics or autonomous systems.
• Ability to work effectively in collaborative, cross-disciplinary research environments.
• Strong written and verbal communication skills.

Benefits

• Medical, dental, and vision insurance
• 401(k) eligibility
• Paid time off benefits (including vacation, sick time, and parental leave)
• Annual cash bonus structure