Meshcapade
Meshcapade is a technology company that specializes in creating platforms and APIs for generating digital human motion and avatars. Their innovative tools allow users to create and manipulate motion from text or video input and generate body shapes from images, providing a seamless experience for users to create and export digital content. Meshcapade aims to unlock the potential of digital human interaction through advanced technology.
3D Human Modeling • Machine Learning • Computer Vision • Animation • Avatars
CV/ML Engineer - Remote
March 13
Meshcapade
Meshcapade is a technology company that specializes in creating platforms and APIs for generating digital human motion and avatars. Their innovative tools allow users to create and manipulate motion from text or video input and generate body shapes from images, providing a seamless experience for users to create and export digital content. Meshcapade aims to unlock the potential of digital human interaction through advanced technology.
3D Human Modeling • Machine Learning • Computer Vision • Animation • Avatars
📋 Description
• Work and research on new generative models, neural methods and transformer for 3D humans in motion • Participate in ongoing research projects with external research partners and help define new research initiatives • Coordinate with the engineering teams to automate and productize latest research, both internal and collaborative • Define the technical direction on evaluation methods, improvements and further development of software using the machine learning and NNs
🎯 Requirements
• Solid understanding of 3D computer vision, deep learning, and training new machine learning models for human motion, behavior & interaction estimation and modelling • 5+ years experience developing in Python and/or C++ • Master’s or PhD degree in computer science or related field • Proven track record of publications on topics related to generative models, neural methods and transformer for 3D humans in motion • Strong understanding of computer vision, graphics and machine learning • Excellent written and oral communication skills • Demonstrable experience with the SMPL family of statistical models
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