Job description


Kinetix is a leading Generative AI startup developing Artificial Intelligence technologies in the field of 3D animation.

Our goal is to create technologies that make 3D animation creation accessible to consumers (e.g., in video games) and more efficient than ever for professionals. Our current innovations include AI-powered Video to Animation and Text to Animation generation technologies.

Kinetix raised $12 million in Seed Funding with US-based fund Top Harvest Capital and with participation from major executives from the gaming industry. This investment supports the development of our AI models as well as our deployment in video games and 3D content platforms.

Job Description

Key responsibilities include:

  • Designing and implementing deep learning models for animation generation, human pose estimation and animation editing
  • Training and optimizing these models to improve the quality and realism of 3D animations
  • Staying abreast of the latest advancements in AI, machine learning and 3D animation technologies (diffusion models, transformers, generative modeling, etc)
  • Working on the stability and controllability of the models
  • Developing algorithms to manipulate animation data and improve the quality of our existing datasets

Preferred Experience

  • Proven experience within the field of 3D animation (mandatory)
  • Strong background in machine learning and deep learning technologies
  • Proficiency in programming languages such as Python and frameworks like PyTorch
  • Experience with 3D animation tools and software (e.g. Blender)
  • Excellent problem-solving skills and a passion for innovation
  • Ability to work effectively in a fast-paced startup environment

Recruitment Process

  • The first round is a fit interview with the R&D Lead
  • The second round is a technical interview with several R&D team members
  • The last rounds are discussions with the founders (CEO and CTO)

Additional Information

  • Contract Type: Full-Time
  • Start Date: 27 May 2024
  • Location: Paris
  • Possible full remote

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