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.