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CLO Virtual Fashion

Digital garment prototyping and simulation software

Machine Learning Engineer - R&D

Computer VisionConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • A master's or doctoral degree in deep-learning-based vision or graphics research, or at least two years of equivalent industry experience.
  • Experience with research projects in vision, 3D deep learning, or generative models.
  • Proficiency in Python and PyTorch.

Responsibilities

  • Develop and improve 3D polygon mesh estimation models from varied inputs, including images, prompts, and video.
  • Develop and improve parametric CAD model estimation models from varied inputs.
  • Develop and improve 3D avatar pose and shape estimation models from varied inputs.
  • Fine-tune and optimize large generative models such as Stable Diffusion for specific purposes, and deploy them as services.
  • Use deep-learning models to improve the efficiency of other complex tasks.

Desired Qualifications

  • Experience with projects using deep-learning models that process meshes or graphs.
  • Experience working with generative models such as diffusion models or StyleGAN.
  • Basic knowledge of computer graphics.
  • Experience or knowledge in geometry processing.
  • Experience or knowledge in physically based rendering.
  • Experience developing services or applications using C++.
  • Experience packaging models in Docker and serving them through APIs.
  • Experience serving models on-device using ONNX.

About the Company

CLO Virtual Fashion

Digital garment prototyping and simulation software

CLO Virtual Fashion develops CLO, a 3D fashion design software that enables true-to-life garment visualizations and digital prototyping. It lets fashion designers and brands create virtual garments, simulate fabric behavior, and preview fits, all in a digital workflow. The software uses AI features like automated pattern generation and fabric simulation to streamline design and production, reducing the need for physical samples. It serves independent designers and global brands including Hugo Boss and Nike, offering scalable solutions for a wide range of clients. Headquartered in Seoul, it operates globally and aims to promote sustainable, cost-efficient garment development by moving more design steps online and shortening development cycles.

Company size
201-500
Company stage
Late Stage VC
Total funding
$40.2M
Headquarters
Seoul, South Korea
Founded
2009

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