# Research Engineer - Generative Humanoid Motion Generation

> Flexion Robotics · Zürich, Switzerland · Full-time · Posted 2025-12-22

**Workplace:** on_site

**Department:** AI Engineering

## Description

**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

## Apply

[Apply at Flexion Robotics](https://apply.workable.com/flexion-robotics/j/2C2CBCB61D/apply)

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