Research Scientist, Learnable Planner

Summary

Join Waabi, a leading AI company revolutionizing self-driving technology, and become a Research Scientist on our Motion Planning team. You will design and execute a research agenda focused on deep-learning based motion planning for self-driving vehicles. Leveraging cutting-edge AI techniques, you'll contribute to the development of scalable planning solutions for fully autonomous trucks. Your work will directly impact Waabi's vision of a safe and efficient end-to-end AI system. Collaboration with platform teams is crucial to integrate research findings into production systems. This role requires a strong background in AI, machine learning, and robotics, along with proven research experience. Waabi offers competitive compensation, equity awards, and a comprehensive benefits package.

Requirements

• MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered
• Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making)
• Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences
• Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability
• Proficient in reading and coding in Python
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions

Responsibilities

• Design and execute on a research agenda for deep-learning based motion planning for self-driving
• Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more
• Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems
• Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies
• Champion engineering excellence, ensuring high-quality, well structured and tested code
• Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog

Preferred Qualifications

• Previous experience in self-driving technology
• Experience deploying ML/DL models to a production motion planning or related robotics stack
• Proficiency in Pytorch, Rust, C++ and/or CUDA

Benefits

• Competitive compensation and equity awards
• Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only)
• Unlimited Vacation
• Flexible hours and Work from Home support
• Daily drinks, snacks and catered meals (when in office)
• Regularly scheduled team building activities and social events both on-site, off-site & virtually