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Intern - AI Architectures Research for Safety Related Systems(m/w/x)
Description
You will drive innovation by researching neural network architectures and building prototypes that ensure AI safety, while sharing your findings with key stakeholders across the company.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master or PhD student in Computer Science, Electrical Engineering or similar field
- •Experience with common neural network architectures and theory
- •Familiarity with internal architectures and mechanisms
- •Excellent programming skills in Python, PyTorch, Tensorflow, or Pandas
- •Ability to independently conduct research and literature investigation
- •Communication skills, adaptability, and quick independent learning
- •Fluency in written and spoken English
Education
Tasks
- •Research AI and neural network architectures
- •Develop solutions for safety-relevant AI systems
- •Investigate literature on critical neural network elements
- •Identify and implement research-based prototypes
- •Document and present findings to stakeholders
Tools & Technologies
Languages
English – Business Fluent
Benefits
Learning & Development
- •Global knowledge exchange network
- •Broad training opportunities
- •Online and face-to-face training
- •German and Mandarin courses
Free or Subsidized Food
- •Healthy company canteen meals
Informal Culture
- •Diverse and welcoming environment
- •Competent and motivated team
Purpose-Driven Work
- •Self-responsible work
- Huawei Research Center Germany & AustriaFull-timeInternshipOn-siteMünchen
- Huawei
AI Architectures Research for Safety Related Systems Intern(m/w/x)
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Intern - AI Architectures Research for Safety Related Systems(m/w/x)
The AI Job Search Engine
Description
You will drive innovation by researching neural network architectures and building prototypes that ensure AI safety, while sharing your findings with key stakeholders across the company.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master or PhD student in Computer Science, Electrical Engineering or similar field
- •Experience with common neural network architectures and theory
- •Familiarity with internal architectures and mechanisms
- •Excellent programming skills in Python, PyTorch, Tensorflow, or Pandas
- •Ability to independently conduct research and literature investigation
- •Communication skills, adaptability, and quick independent learning
- •Fluency in written and spoken English
Education
Tasks
- •Research AI and neural network architectures
- •Develop solutions for safety-relevant AI systems
- •Investigate literature on critical neural network elements
- •Identify and implement research-based prototypes
- •Document and present findings to stakeholders
Tools & Technologies
Languages
English – Business Fluent
Benefits
Learning & Development
- •Global knowledge exchange network
- •Broad training opportunities
- •Online and face-to-face training
- •German and Mandarin courses
Free or Subsidized Food
- •Healthy company canteen meals
Informal Culture
- •Diverse and welcoming environment
- •Competent and motivated team
Purpose-Driven Work
- •Self-responsible work
About the Company
Huawei
Industry
IT
Description
The company is a leading global information and communications technology (ICT) solutions provider.
- Huawei Research Center Germany & Austria
Intern - AI Architectures Research for Safety-Related Systems(m/w/x)
Full-timeInternshipOn-siteMünchen - Huawei
AI Architectures Research for Safety Related Systems Intern(m/w/x)
Full-timeInternshipOn-siteMünchen - Huawei Research Center Germany & Austria
Intern/Working Student - AI Architectures Research for Safety-Related Systems(m/w/x)
Full-timeWorking StudentOn-siteMünchen - Huawei Research Center Germany & Austria
Intern - Generative AI for Safety Relevant Systems(m/w/x)
Full-timeInternshipOn-siteMünchen - Huawei Research Center Germany & Austria
Intern - Domain Specific Language Development for Safety Relevant Systems(m/w/x)
Full-timeInternshipOn-siteMünchen