Research Scientist, Computer Vision (PhD)

What you'll do

• Design and conduct research in computer vision, including 3D reconstruction, scene understanding, and generative image or video modeling.
• Develop, train, and evaluate deep learning models and algorithms using large-scale vision datasets.
• Collaborate with engineering and other teams to translate research into scalable prototypes and capabilities.

What they ask for

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; degree must be completed before joining.
• Currently has, or is obtaining, a PhD in computer vision, machine learning, computer science, or a related field.
• 2+ years of computer vision research experience, including 3D reconstruction, SLAM, or related areas.
• Experience with deep learning frameworks such as PyTorch, implementing and evaluating computer vision algorithms, and communicating research findings.

Nice to have

• Experience with large-scale vision-language models, self-supervised learning, or generative image and video modeling.
• 3D vision experience or publications at leading computer vision or machine learning venues.

Pay

$154,000/year to $217,000/year USD base salary; bonus and equity amounts not specified

Tools

PyTorch, SLAM, CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH

AI focus

Computer vision and AI research, including visual perception, 3D scene understanding, image and video recognition, real-time video models, and generative image or video modeling.