Research Engineer, Computer Vision
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The role
Conduct cutting-edge research in computer vision, generative AI, and related fields to advance state-of-the-art methodologies.
Design, implement, and optimize algorithms with strong software engineering foundations in C/C++ for reliable, scalable deployment.
Develop methods across image/video synthesis, multi-modality, neural motion synthesis, and human modeling (2D/3D pose, hand pose, human shape) and facial analysis.
Explore generative models, including diffusion models and GANs, and improve image/video understanding and editing capabilities.
Collaborate with cross-functional teams to translate research advances into practical platform features.
Qualifications include MS/PhD in computer science or related field; 1–3 years of professional coding, CV algorithm optimization, and strong analytical and teamwork skills.
Design, implement, and optimize algorithms with strong software engineering foundations in C/C++ for reliable, scalable deployment.
Develop methods across image/video synthesis, multi-modality, neural motion synthesis, and human modeling (2D/3D pose, hand pose, human shape) and facial analysis.
Explore generative models, including diffusion models and GANs, and improve image/video understanding and editing capabilities.
Collaborate with cross-functional teams to translate research advances into practical platform features.
Qualifications include MS/PhD in computer science or related field; 1–3 years of professional coding, CV algorithm optimization, and strong analytical and teamwork skills.
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