About Flexion:
At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world deployment of humanoids. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich) and backed by leading international VC firms. Within a few months, we’ve gone from our first line of code to deploying real humanoid capabilities with our partners.
The Role:
We are looking for an expert in whole-body motion generation and/or vision-conditioned generative models 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 generative models for robot trajectory generation.
Requirements
Hands-on experience in the development and training of generative models, including diffusion, flow matching, or masked-Transformer models. Ideally, this includes either training robotic imitation policies, training models to generate whole-body motions for human avatars, or training a vision-conditioned generative model to predict actions.
Particularly:
- PhD or master's degree in generative modeling, human motion generation, or learning-based robot 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 and PyTorch, with hands-on experience in training and fine-tuning generative models, including diffusion, flow matching, and masked-transformer models.
- Experience in deploying 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.
Additionally, the following skills are a plus but not required:
- Experience with multi-modal generative models.
- Experience with image or video-based action prediction from ego-centric views.
- Experience with ego-centric world models for human avatars or humanoid robots.
- Experience with finetuning foundation models, e.g., Gr00t or SmolVLA, to produce whole-body actions or kinematics motions.
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
- Competitive compensation
- A front-row seat at one of Europe’s most ambitious robotics companies
- An energetic, collaborative team with a bias for action
Skills Required
- PhD or master's degree in diffusion models/flow matching or learning-based trajectory generation
- Hands-on experience in training robotic imitation policies or generating whole-body motions for human avatars
- Strong research profile with publications at top computer vision, graphics, and robotic conferences
- Excellent knowledge of Python and PyTorch
- Experience in deploying learning-based trajectory generation for robotic systems
- Experience with modern GPU-based simulations such as Omniverse or Genesis
What We Do
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.
