· Invent, analyze, design, develop, and optimize real-time computer vision 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 computer vision, machine learning, computer graphics, or related field.
· Broad understanding of the full machine vision pipeline from sensors to high-level algorithms.
· Proven publication track record at conferences such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, AAAI, IJCV, TPAMI.
· Demonstrated software engineer experience via an internship, work experience, coding. competitions, or widely used contributions in open source repositories (e.g., GitHub).