AI Engineer - Dexterous Manipulation
Flexion
About the role
About
We are looking for a dexterous manipulation expert to strengthen our team in Zurich.
The goal of this position is the development and deployment of state-of-the-art learning-based controllers to interact with the environment and manipulate objects more reliably and flexibly.
As all code has to run on real robotic hardware in real time, hands‑on robotic experience and knowledge in state‑of‑the‑art models for dexterous manipulation, such as diffusion models, flow matching or reinforcement learning, is required.
Experience with ROS and perception models is a plus.
Responsibilities
- Develop and deploy state-of-the-art learning-based controllers to interact with the environment and manipulate objects reliably and flexibly on real robotic hardware in real time.
- Apply knowledge of dexterous manipulation models (e.g., diffusion models, flow matching, reinforcement learning) to practical robot systems.
- Collaborate in a dynamic, fast‑moving team environment and take ownership of projects and decisions.
Qualifications
- PhD or master’s degree in robotics with relevant project experience (e.g., master thesis) on data‑driven manipulation or diffusion models.
- Excellent knowledge of Python, PyTorch and the training of deep neural networks.
- Hands‑on experience running learning‑based controllers on real robot hardware.
- Good knowledge of diffusion models and transformers.
- 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.
Company
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.
Benefits
- 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.
Requirements
- Excellent knowledge of Python, PyTorch and the training of deep neural networks.
- Hands-on experience running learning-based controllers on real robot hardware.
- Good knowledge of diffusion models and transformers.
Responsibilities
- Develop and deploy state-of-the-art learning-based controllers to interact with the environment and manipulate objects reliably and flexibly on real robotic hardware in real time.
- Apply knowledge of dexterous manipulation models (e.g., diffusion models, flow matching, reinforcement learning) to practical robot systems.
- Collaborate in a dynamic, fast-moving team environment and take ownership of projects and decisions.
Skills
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free