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(Senior) ML Research Engineer - Robotics(m/w/x)
Building video models and multimodal encoders for precision assembly systems with force-moment sensing. Proven experience implementing diffusion and transformer architectures for embodied robotic platforms required. Monthly 100 € benefit for health or mobility, rooftop terrace access.
Requirements
- Experience in robotics-adjacent domains or multimodal ML
- Ability to build end-to-end ML systems
- Solid engineering instincts
- Proficiency in writing clean Python
- Ability to handle complex real-world data
- Deep ML experience in various modelling techniques
- Strong software engineering ability
- Real-world ML mindset for large-scale datasets
- Engineering maturity in scaling ML systems
- PyTorch expertise and hands-on pipeline experience
- Multimodal intuition for signal combination
- Systems sense for streaming and microservices
- Interest in teleoperation and robot interaction
- Knowledge of Isaac Sim, MuJoCo, or Unity
Tasks
- Build ML components across perception, prediction, or policy pathways
- Develop video models, multimodal encoders, and world models
- Implement diffusion and transformer architectures
- Integrate ML pipelines into embodied robotic platforms
- Manage real datasets and real-time constraints
- Process multimodal inputs including video and teleoperation actions
- Handle proprioception, tactile signals, and simulation-generated sequences
- Test models in realistic environments
- Analyze failure modes to improve stability and robustness
- Refine models for drift and latency
- Partner with modeling, robotics, and teleoperation teams
- Collaborate with simulation and data systems teams
Work Experience
Education
Languages
Tools & Technologies
Benefits
Additional Allowances
- •100 € monthly benefit
Healthcare & Fitness
- •Health, mobility, learning coverage
Modern Office
- •Modern office facilities
Startup Environment
- •Rooftop terrace
Snacks & Drinks
- •Free drinks and fruits
Team Events
- •Regular company events
Informal Culture
- •Good working environment
- Agile RobotsFull-timeOn-siteSeniorMünchen
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Robotics AI Engineer(m/w/x)
Full-timeOn-siteExperiencedMünchen
(Senior) ML Research Engineer - Robotics(m/w/x)
Building video models and multimodal encoders for precision assembly systems with force-moment sensing. Proven experience implementing diffusion and transformer architectures for embodied robotic platforms required. Monthly 100 € benefit for health or mobility, rooftop terrace access.
Requirements
- Experience in robotics-adjacent domains or multimodal ML
- Ability to build end-to-end ML systems
- Solid engineering instincts
- Proficiency in writing clean Python
- Ability to handle complex real-world data
- Deep ML experience in various modelling techniques
- Strong software engineering ability
- Real-world ML mindset for large-scale datasets
- Engineering maturity in scaling ML systems
- PyTorch expertise and hands-on pipeline experience
- Multimodal intuition for signal combination
- Systems sense for streaming and microservices
- Interest in teleoperation and robot interaction
- Knowledge of Isaac Sim, MuJoCo, or Unity
Tasks
- Build ML components across perception, prediction, or policy pathways
- Develop video models, multimodal encoders, and world models
- Implement diffusion and transformer architectures
- Integrate ML pipelines into embodied robotic platforms
- Manage real datasets and real-time constraints
- Process multimodal inputs including video and teleoperation actions
- Handle proprioception, tactile signals, and simulation-generated sequences
- Test models in realistic environments
- Analyze failure modes to improve stability and robustness
- Refine models for drift and latency
- Partner with modeling, robotics, and teleoperation teams
- Collaborate with simulation and data systems teams
Work Experience
Education
Languages
Tools & Technologies
Benefits
Additional Allowances
- •100 € monthly benefit
Healthcare & Fitness
- •Health, mobility, learning coverage
Modern Office
- •Modern office facilities
Startup Environment
- •Rooftop terrace
Snacks & Drinks
- •Free drinks and fruits
Team Events
- •Regular company events
Informal Culture
- •Good working environment
About the Company
Agile Robots
Industry
Other
Description
The company develops systems that combine force-moment-sensing and image-processing technology for robotic solutions.
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