We are seeking a PhD Computer Vision Scientist with deep expertise in object detection, tracking, or related visual perception tasks. You’ll join our world-class research team to design, implement, and optimize algorithms that advance the state of the art in dynamic scene understanding. This role is ideal for a researcher who has already made significant contributions to the field, for example, through publications at top-tier venues such as CVPR, ICCV, or ECCV and is eager to apply that experience in a fast-paced, applied R&D environment. Responsibilities Conduct original research in object detection, multi-object tracking, or video understanding. Develop novel models and algorithms that can be deployed in real-world systems. Collaborate with cross-functional teams to bring research ideas from concept to prototype and product. Publish high-impact papers and maintain strong visibility within the computer vision community. Requirements PhD in Computer Vision, Machine Learning, Robotics, or a related field. Strong research background in object detection, tracking, segmentation, or visual understanding. Proven record of publications in CVPR, ICCV, ECCV, or comparable conferences. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. 1-3 years industry experience. What We Offer Competitive salary and equity package. Access to high-performance computing infrastructure. Opportunities for publication, collaboration, and attending top-tier conferences. A collaborative, research-driven environment with a focus on innovation and impact.