
11 - 50 employees
Founded 2018
🤖 Artificial Intelligence
🥽 AR/VR
☁️ SaaS
💰 Angel Round on 2021-11
Artificial Intelligence • AR/VR • SaaS
Meshcapade is a company that focuses on developing foundation models to enable digital humans to see, understand, and move. Their technology provides solutions for creating and using digital human animations and avatars, allowing users to generate motion from text, video, and images instantly. Meshcapade offers a platform with APIs and plugins to enhance the creation and use of digital human models. They provide services in areas like motion capture and avatar creation, making digital human representation more accessible and instantaneous.
🕒 March 26
🗣️🇩🇪 German Required
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11 - 50 employees
Founded 2018
🤖 Artificial Intelligence
🥽 AR/VR
☁️ SaaS
💰 Angel Round on 2021-11
Artificial Intelligence • AR/VR • SaaS
Meshcapade is a company that focuses on developing foundation models to enable digital humans to see, understand, and move. Their technology provides solutions for creating and using digital human animations and avatars, allowing users to generate motion from text, video, and images instantly. Meshcapade offers a platform with APIs and plugins to enhance the creation and use of digital human models. They provide services in areas like motion capture and avatar creation, making digital human representation more accessible and instantaneous.
• Work closely with the R&D team to change how people think about, generate, and use digital humans. • Support the R&D team in developing new ML methods in markerless motion capture, motion generation, motion understanding, and synthetic data generation. • Contribute to ongoing research projects. • Coordinate with mentors and the broader engineering team to productively apply the latest research findings. • Opportunity to publish at top computer vision, graphics, and ML conferences, e.g., CVPR, ICCV, ECCV, SIGGRAPH, ICLR, NeurIPS
• Master’s or PhD in Computer Science or a related field • Experience with 3D computer vision and deep learning libraries (PyTorch, TensorFlow) • Knowledge of the SMPL family of statistical models (bonus) • Experience with Unreal Engine / Blender / Unity, etc.
• Great benefits (autonomy, flexible working hours, and team events)
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