Research Scientist, Waabi

• 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

Desirable

• The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks
• As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks
• You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World
• 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