Machine Learning intern, Behavior Planning

Core responsibilities:

• Work on scalable machine learning based planning and prediction systems to generate safe and feasible trajectories for autonomous driving.
• Collaborate closely within the learned behavior team to analyze autonomy system performance, understand data quality and feature representations, and modify machine learning models to develop holistic solutions to top autonomy challenges.
• Implement and train machine learning models using established frameworks like PyTorch, test and deploy work on real-world vehicles.
• Conduct experiments, analyze results, and present findings to the team.

This role contributes to making autonomy accessible to all by solving the hardest autonomy problems using advanced machine learning techniques, ultimately empowering a safer, richer, and more connected future through self-driving technology.

Required qualifications:

• Currently pursuing a B.S., M.S., or Ph.D. in Computer Science, Robotics, Mathematics, or related engineering field.
• Excellent programming proficiency in Python and strong understanding of object-oriented programming; experience with C++ is a plus.
• Strong foundational knowledge of machine learning concepts and hands-on experience with at least one major deep learning framework (PyTorch, TensorFlow, or JAX).
• Coursework or project experience in Deep Learning, Computer Vision, Robotics, or Reinforcement Learning is highly desirable.

Compensation: Monthly pay between $11,500 and $14,000 (annual equivalent: $138,000 to $168,000). Culture: Nuro celebrates differences and is committed to a diverse workplace that fosters inclusion and psychological safety for all employees.

Nuro is a self-driving technology company on a mission to make autonomy accessible to all, building the world's most scalable driver by combining cutting-edge AI with automotive-grade hardware to support applications from robotaxis to personally owned vehicles.