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Research Engineer for AI Validation(m/w/x)
Developing validation methods for generative AI and foundation models in automotive products. PhD and several years of AI experience in industrial product development required. Flexible working models, part-time options, mobile working.
Requirements
- PhD in Computer Science, Statistics, Physics, or comparable technical field
- Several years of AI experience in industrial product development (consumer goods, automotive, manufacturing)
- Hands-on involvement in product release processes, safety standards, and validation methods in software and AI
- Expertise in modern AI algorithms and principles (generative, large-scale models, deep neural networks, foundation models, agentic AI)
- Strong background in statistics
- Extensive experience developing robust, safe, and reliable AI solutions
- Integration of AI methods with formal methods and statistical approaches
- Strong skills implementing AI algorithms in Python
- Application of modern, production-grade software development practices and standards
- Ability to communicate complex technical topics clearly
- Enjoyment of working successfully in interdisciplinary and international teams
- Business fluent English skills (written and spoken)
Tasks
- Develop innovative validation methods for complex AI models
- Collaborate with validation teams in corporate research and business units
- Design forward-looking validation concepts
- Analyze technological requirements for validation and safety
- Implement prototypical software solutions
- Demonstrate solutions in concrete Bosch use cases
- Integrate existing technologies into validation toolboxes
Work Experience
- approx. 4 - 6 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- Generative AI
- Large-scale models
- Deep neural networks
- Foundation models
- Agentic AI
Benefits
Flexible Working
- Flexible working models
- Part-time options
- Mobile working
- Job sharing
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Research Engineer for AI Validation(m/w/x)
Developing validation methods for generative AI and foundation models in automotive products. PhD and several years of AI experience in industrial product development required. Flexible working models, part-time options, mobile working.
Requirements
- PhD in Computer Science, Statistics, Physics, or comparable technical field
- Several years of AI experience in industrial product development (consumer goods, automotive, manufacturing)
- Hands-on involvement in product release processes, safety standards, and validation methods in software and AI
- Expertise in modern AI algorithms and principles (generative, large-scale models, deep neural networks, foundation models, agentic AI)
- Strong background in statistics
- Extensive experience developing robust, safe, and reliable AI solutions
- Integration of AI methods with formal methods and statistical approaches
- Strong skills implementing AI algorithms in Python
- Application of modern, production-grade software development practices and standards
- Ability to communicate complex technical topics clearly
- Enjoyment of working successfully in interdisciplinary and international teams
- Business fluent English skills (written and spoken)
Tasks
- Develop innovative validation methods for complex AI models
- Collaborate with validation teams in corporate research and business units
- Design forward-looking validation concepts
- Analyze technological requirements for validation and safety
- Implement prototypical software solutions
- Demonstrate solutions in concrete Bosch use cases
- Integrate existing technologies into validation toolboxes
Work Experience
- approx. 4 - 6 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- Generative AI
- Large-scale models
- Deep neural networks
- Foundation models
- Agentic AI
Benefits
Flexible Working
- Flexible working models
- Part-time options
- Mobile working
- Job sharing
About the Company
Bosch Group
Industry
Research
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
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