Research Engineer - Humanoid Whole-Body Motion Generation presso Flexion Robotics

Description

We are looking for an expert in whole-body motion generation to strengthen our Zurich team.

Inspired by recent successes in neural avatars and computer graphics, we aim to apply similar principles to generate whole-body motions for our humanoid robots.

The goal of this position is to develop and deploy state-of-the-art multimodal models for robot trajectory generation.

Requirements

Hands-on experience in the development and training of diffusion or flow matching models. Ideally, this includes either training robotic imitation policies or training models to generate whole-body motions for human avatars.

Particularly:

• PhD or master's degree in diffusion models/flow matching or learning-based trajectory generation with relevant project experience.
• Strong research profile with a high track record of publications at top computer vision, graphics and/or robotic conferences, such as ICCV/ECCV, CVPR, SIGGRAPH, CORL, RSS, etc.
• Excellent knowledge of Python, PyTorch, and hands-on experience in the training and fine-tuning of diffusion models and/or flow matching policies.
• Experience in the deployment of learning-based trajectory generation for robotic systems.
• Experience with modern GPU-based simulations such as Omniverse or Genesis.
• Good knowledge of state-of-the-art machine learning architectures.
  

We are looking for a person who enjoys working in a team in a very dynamic and fast-moving environment, and who is able and willing to take ownership of projects and decisions.

Benefits

We at Flexion Robotics (flexion.ai) are a young company in Zurich working on the next generation of humanoid robot software to enable robots to perform useful tasks autonomously.

We work dynamically and move fast. The team is still fairly small and every new employee at this stage will have significant ownership of their current project.

We offer a competitive remuneration in the form of a competitive base salary and additional components/benefits depending on the specific role and the experience of the applicant.