AI Engineer - Dexterous Manipulation

Flexion; Zürich; Vor Ort; CHF 110.000 - 160.000; Vollzeit

Benefits dieser Stelle

Competitive remuneration

Ownership of projects

Zusammenfassung

A robotics innovation company in Zurich seeks a dexterous manipulation expert to develop and deploy advanced learning-based controllers for robotic systems. Candidates must hold a PhD or master's degree in robotics and have strong knowledge of Python, PyTorch, and real-time robotics experience. The position offers the opportunity to work in a small, fast-moving team where new employees take significant ownership of projects, with competitive salary and benefits provided.

Qualifikationen

• PhD or master’s degree in robotics or relevant project experience.
• Hands-on experience with learning-based controllers on real robotic hardware.
• Excellent knowledge of Python and PyTorch.
• Good knowledge of diffusion models and transformers.
• Experience with ROS and perception models is a plus.

Aufgaben

• Develop and deploy learning-based controllers for robots.
• Apply dexterous manipulation models to practical systems.
• Collaborate in a fast-paced team environment.

Kenntnisse

Knowledge of Python

PyTorch

Deep neural network training

Hands-on robotics experience

Knowledge of diffusion models

Experience with ROS

Perception models

Ausbildung

PhD or master's degree in robotics

Jobbeschreibung

Overview

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.
• Experience with ROS and perception models is a plus.

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.