Agile Robots
ML Research Engineer Robotics(m/w/x)
Full-timeOn-siteSenior
München
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AGAgile Robots
Senior AI Research Engineer - Foundation Models(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Designing vision- and language-conditioned robot policies using transformers or diffusion models. Master's or PhD in CS, Robotics, or AI required. 100 EUR net per month bonus.
Requirements
- Master’s or PhD in Computer Science, Robotics, AI, or related field
- Designing and training learning-based policies for robotics
- Adapting or designing transformer-based, diffusion-based, or vision-language-action models
- Reasoning about representations, objectives, inductive biases, and trade-offs
- Responsibility for model-level outcomes, debugging policy failures, improving robustness
- Strong Python skills and ML framework implementation
- Understanding of learned policies interaction with perception, action spaces, and constraints
- Experience with distributed training, GPU clusters, or large-scale experimentation
- Leveraging predictive or world-model elements for policy improvement
- Validating learned policies on real robotic systems or high-fidelity simulation
- Publications, patents, or deployed systems in robotics, multimodal learning, or embodied AI
Tasks
- Design vision- and language-conditioned robot policies
- Train policies using imitation learning, diffusion-based approaches, or transformers
- Link representation, objective, and resulting behavior
- Define and adapt model architectures and training objectives
- Incorporate inductive biases for embodied learning under uncertainty
- Analyze policy behavior and failure modes
- Refine models to improve robustness and generalization
- Manage end-to-end learning pipelines
- Ensure data assumptions through training and evaluation
- Conduct controlled real-world validation with robotics teams
- Collaborate with robotics, perception, and platform teams
- Align learned policies with action spaces and timing constraints
- Track advances in robot learning and multimodal foundation models
- Evaluate applicability of new research to embodied intelligence
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Transformer-based models
- Diffusion-based models
- Vision-language-action models
Benefits
Learning & Development
- Development opportunities
Diverse Work
- Challenging tasks
Purpose-Driven Work
- Impactful projects
Corporate Discounts
- Corporate Benefits Program
Additional Allowances
- 100 EUR net per month
Modern Office
- Modern office facilities
Startup Environment
- Rooftop terrace
Snacks & Drinks
- Free drinks
- Free fruits
Team Events
- Company events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Agile Robots 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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- Agile Robots
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AI Research Engineer - Foundation Models(m/w/x)
Full-timeOn-siteExperiencedBerlin, München - Agile Robots
(Senior) AI Research Engineer Generative Video for Robotics(m/w/x)
Full-timeOn-siteNot specifiedMünchen - Helsing
AI Research Engineer - 3D Computer Vision(m/w/x)
Full-timeOn-siteSeniorMünchen, Berlin
AGAgile Robots
Senior AI Research Engineer - Foundation Models(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Designing vision- and language-conditioned robot policies using transformers or diffusion models. Master's or PhD in CS, Robotics, or AI required. 100 EUR net per month bonus.
Requirements
- Master’s or PhD in Computer Science, Robotics, AI, or related field
- Designing and training learning-based policies for robotics
- Adapting or designing transformer-based, diffusion-based, or vision-language-action models
- Reasoning about representations, objectives, inductive biases, and trade-offs
- Responsibility for model-level outcomes, debugging policy failures, improving robustness
- Strong Python skills and ML framework implementation
- Understanding of learned policies interaction with perception, action spaces, and constraints
- Experience with distributed training, GPU clusters, or large-scale experimentation
- Leveraging predictive or world-model elements for policy improvement
- Validating learned policies on real robotic systems or high-fidelity simulation
- Publications, patents, or deployed systems in robotics, multimodal learning, or embodied AI
Tasks
- Design vision- and language-conditioned robot policies
- Train policies using imitation learning, diffusion-based approaches, or transformers
- Link representation, objective, and resulting behavior
- Define and adapt model architectures and training objectives
- Incorporate inductive biases for embodied learning under uncertainty
- Analyze policy behavior and failure modes
- Refine models to improve robustness and generalization
- Manage end-to-end learning pipelines
- Ensure data assumptions through training and evaluation
- Conduct controlled real-world validation with robotics teams
- Collaborate with robotics, perception, and platform teams
- Align learned policies with action spaces and timing constraints
- Track advances in robot learning and multimodal foundation models
- Evaluate applicability of new research to embodied intelligence
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Transformer-based models
- Diffusion-based models
- Vision-language-action models
Benefits
Learning & Development
- Development opportunities
Diverse Work
- Challenging tasks
Purpose-Driven Work
- Impactful projects
Corporate Discounts
- Corporate Benefits Program
Additional Allowances
- 100 EUR net per month
Modern Office
- Modern office facilities
Startup Environment
- Rooftop terrace
Snacks & Drinks
- Free drinks
- Free fruits
Team Events
- Company events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Agile Robots 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
Agile Robots
Industry
Research
Description
The company develops systems that combine force-moment-sensing and image-processing technology for robotic solutions.
Not a perfect match?
- Agile Robots
ML Research Engineer Robotics(m/w/x)
Full-timeOn-siteSeniorMünchen - Agile Robots
Senior AI Research Engineer - Learning-Based Robotics(m/w/x)
Full-timeOn-siteSeniorMünchen - Helsing
AI Research Engineer - Foundation Models(m/w/x)
Full-timeOn-siteExperiencedBerlin, München - Agile Robots
(Senior) AI Research Engineer Generative Video for Robotics(m/w/x)
Full-timeOn-siteNot specifiedMünchen - Helsing
AI Research Engineer - 3D Computer Vision(m/w/x)
Full-timeOn-siteSeniorMünchen, Berlin