Research Engineer - Generative Humanoid Motion Generation

Flexion; Zürich; Vor Ort; CHF 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Competitive base salary

Flexible working environment

Ownership of projects

Zusammenfassung

A cutting-edge robotics firm in Zurich seeks an expert in whole-body motion generation to develop advanced multimodal models for humanoid robots. The ideal candidate holds a PhD or master's in relevant fields, has a robust research profile, and is proficient in Python and PyTorch. You will collaborate in a dynamic small team, contributing significantly to projects and decisions while enjoying competitive compensation and benefits focused on your role and experience.

Qualifikationen

• Hands-on experience in training diffusion or flow matching models.
• Strong research background with publications in top conferences.
• Experience deploying learning-based trajectory generation.

Aufgaben

• Develop state-of-the-art multimodal models for trajectory generation.
• Work collaboratively in a dynamic team environment.
• Take ownership of projects and decisions.

Kenntnisse

Diffusion models

Flow matching

Trajectory generation

Python

PyTorch

GPU-based simulations

Ausbildung

PhD or master's degree in a relevant field

Tools

Omniverse

Genesis

Jobbeschreibung

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.

Role:

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.

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.

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.