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Senior AI Research Engineer Foundation Models(m/w/x)
Designing vision- and language-conditioned robot policies for intelligent precision assembly using imitation learning and diffusion-based approaches. Proven experience training transformer-based vision-language-action models required. Monthly 100 € benefit program, specialized health and mobility perks.
Requirements
- Master’s, PhD in Computer Science, Robotics, AI, or related field
- Experience designing and training learning-based robotics policies
- Experience with transformer, diffusion, or vision-language-action models
- Ability to reason about model representations and trade-offs
- Responsibility for model-level outcomes and debugging
- Strong Python skills and ML framework experience
- Understanding of learned policies and physical constraints
- Experience with distributed training or GPU clusters
- Experience leveraging predictive or world-model elements
- Experience validating policies on real robotic systems
- Publications, patents, or deployed systems in AI
Tasks
- Design vision- and language-conditioned robot policies
- Train policies using imitation learning and diffusion-based approaches
- Implement transformer architectures for robot behavior
- Link representations and objectives to behavioral outcomes
- Define model architectures and inductive biases
- Adapt training objectives for embodied learning under uncertainty
- Analyze policy behavior and failure modes
- Refine models for robustness and generalization
- Manage end-to-end learning pipelines
- Validate models through controlled real-world testing
- Collaborate with robotics, perception, and platform teams
- Align learned policies with action spaces and timing constraints
- Track advances in multimodal foundation models
- Evaluate vision-language-action systems for embodied intelligence
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- GPU clusters
- Transformers
- Diffusion models
- Vision-language-action models
Benefits
Informal Culture
- Interdisciplinary international team
- Collaborative work environment
Learning & Development
- Professional and personal development
Additional Allowances
- 100 € monthly benefit program
Healthcare & Fitness
- Health, mobility, learning benefits
Modern Office
- Modern office with rooftop
Snacks & Drinks
- Free drinks and fruits
Team Events
- Regular company events
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Senior AI Research Engineer Foundation Models(m/w/x)
Designing vision- and language-conditioned robot policies for intelligent precision assembly using imitation learning and diffusion-based approaches. Proven experience training transformer-based vision-language-action models required. Monthly 100 € benefit program, specialized health and mobility perks.
Requirements
- Master’s, PhD in Computer Science, Robotics, AI, or related field
- Experience designing and training learning-based robotics policies
- Experience with transformer, diffusion, or vision-language-action models
- Ability to reason about model representations and trade-offs
- Responsibility for model-level outcomes and debugging
- Strong Python skills and ML framework experience
- Understanding of learned policies and physical constraints
- Experience with distributed training or GPU clusters
- Experience leveraging predictive or world-model elements
- Experience validating policies on real robotic systems
- Publications, patents, or deployed systems in AI
Tasks
- Design vision- and language-conditioned robot policies
- Train policies using imitation learning and diffusion-based approaches
- Implement transformer architectures for robot behavior
- Link representations and objectives to behavioral outcomes
- Define model architectures and inductive biases
- Adapt training objectives for embodied learning under uncertainty
- Analyze policy behavior and failure modes
- Refine models for robustness and generalization
- Manage end-to-end learning pipelines
- Validate models through controlled real-world testing
- Collaborate with robotics, perception, and platform teams
- Align learned policies with action spaces and timing constraints
- Track advances in multimodal foundation models
- Evaluate vision-language-action systems for embodied intelligence
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- GPU clusters
- Transformers
- Diffusion models
- Vision-language-action models
Benefits
Informal Culture
- Interdisciplinary international team
- Collaborative work environment
Learning & Development
- Professional and personal development
Additional Allowances
- 100 € monthly benefit program
Healthcare & Fitness
- Health, mobility, learning benefits
Modern Office
- Modern office with rooftop
Snacks & Drinks
- Free drinks and fruits
Team Events
- Regular company events
About the Company
Agile Robots
Industry
Engineering
Description
The company develops systems that combine force-moment-sensing and image-processing technology for robotic solutions.
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