Description:

Meshcapade is a leading company in creating realistic 3D digital humans for various applications including apparel, games, fitness, AI, and augmented reality.
The company utilizes machine learning and computer vision to model human body shape and movement.
The role involves working on new generative models, neural methods, and transformers for 3D humans in motion.
The position includes participation in ongoing research projects with external partners and defining new research initiatives.
The candidate will coordinate with engineering teams to automate and productize the latest research findings.
The role requires defining the technical direction for evaluation methods and further development of software using machine learning and neural networks.

Requirements:

A solid understanding of 3D computer vision, deep learning, and training new machine learning models for human motion, behavior, and interaction estimation and modeling is essential.
The candidate must have 5+ years of experience developing in Python and/or C++.
A Master’s or PhD degree in computer science or a related field is required.
A proven track record of publications on topics related to generative models, neural methods, and transformers for 3D humans in motion is necessary.
Strong understanding of computer vision, graphics, and machine learning is required.
Excellent written and oral communication skills are essential for this position.

The position offers the opportunity to work with cutting-edge technology in the field of 3D digital humans.
Employees are encouraged to contribute to a diverse and inclusive work environment.
The role provides the chance to collaborate with external research partners and engage in innovative research initiatives.
Meshcapade values diversity of thought, which enhances the collective achievements of the team.