Flexion Robotics
.AI Research Engineer - RL Manipulation(m/w/x)
Full-timeOn-siteExperienced
Zürich
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FLFlexion Robotics
.AI Engineer - Dexterous Manipulation(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Developing learning-based controllers for humanoid robots in Zurich. Hands-on robotic experience with state-of-the-art manipulation models required. Work in a young company with a focus on autonomous task performance.
Requirements
- Hands-on robotic experience
- Knowledge in state-of-the-art models for dexterous manipulation (Diffusion Models, Flow Matching, or Reinforcement Learning)
- Experience with ROS and perception models (plus)
- PhD or master's degree in robotics with relevant project experience
- Excellent knowledge of Python, PyTorch
- Excellent knowledge in training deep neural networks
- Hands-on experience running learning-based controllers on real robot hardware
- Good knowledge in diffusion models and transformers
- Enjoyment of working in a team
- Ability to work in a dynamic and fast-moving environment
- Willingness to take ownership of projects and decisions
Tasks
- Develop state-of-the-art learning-based controllers
- Deploy learning-based controllers for environment interaction
- Enhance object manipulation reliability
- Improve object manipulation flexibility
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- ROS
- Python
- PyTorch
- Diffusion Models
- Flow Matching
- Reinforcement Learning
- Deep Neural Networks
- Transformers
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Flexion Robotics and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FLFlexion Robotics
.AI Engineer - Dexterous Manipulation(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Developing learning-based controllers for humanoid robots in Zurich. Hands-on robotic experience with state-of-the-art manipulation models required. Work in a young company with a focus on autonomous task performance.
Requirements
- Hands-on robotic experience
- Knowledge in state-of-the-art models for dexterous manipulation (Diffusion Models, Flow Matching, or Reinforcement Learning)
- Experience with ROS and perception models (plus)
- PhD or master's degree in robotics with relevant project experience
- Excellent knowledge of Python, PyTorch
- Excellent knowledge in training deep neural networks
- Hands-on experience running learning-based controllers on real robot hardware
- Good knowledge in diffusion models and transformers
- Enjoyment of working in a team
- Ability to work in a dynamic and fast-moving environment
- Willingness to take ownership of projects and decisions
Tasks
- Develop state-of-the-art learning-based controllers
- Deploy learning-based controllers for environment interaction
- Enhance object manipulation reliability
- Improve object manipulation flexibility
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- ROS
- Python
- PyTorch
- Diffusion Models
- Flow Matching
- Reinforcement Learning
- Deep Neural Networks
- Transformers
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Flexion Robotics and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Flexion Robotics
Industry
IT
Description
Flexion builds the intelligence layer for next-gen humanoid robots, accelerating their real-world deployment.
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