- Solid knowledge of Python and relevant libs
- Mathematical and/or Algorithmic background
- Expertise in Deep Learning and working with DL frameworks
- Skill of staying on top of relevant research and knowing how to conduct your own
- Problem-solving mindset
- Conducting research and developing ML pipelines.
- Elementary tasks may include: semantic shape manipulation, 3D model segmentation, rigging, part stitching, implicit representation learning, and many more.
- Being a part of the team and sharing your knowledge.
Will be a plus
- Experience in combining Deep Learning with 3D geometry
- Familiarity with classical geometry processing algorithms
- Working experience in 3D modeling environments (Blender, Maya, ZBrush)
- Knowledge of CUDA, C++
- Lots of growth opportunities, stock options
- High degree of professional freedom & autonomy
- Challenging tasks
- Friendly team