• Invent, analyze, design, develop and optimize multi-agent planning algorithms.
• Collaborate in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver software solutions.
• Write clean readable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency.
• Learn constantly, dive into new areas with unfamiliar technologies.
• Master or Ph.D. degree in in computational cognitive science, robotics, machine learning, applied mathematics, statistics, or related fields.
• Broad understanding of the full machine vision pipeline from sensors to high-level algorithms.
• Proven publication track record at conferences such as ICML, NeurIPS, ICLR, AAAI, ICRA, IROS, TPAMI, IJRR, etc.
• Demonstrated software engineer experience via an internship, work experience, coding. competitions, or widely used contributions in open source repositories (e.g. GitHub).