Siemens AG
Mandatory internship Bereich Generative AI(m/w/x)
Full-timeInternshipWith Homeoffice
München
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BMBMW Group
Intern Synthetic Data Generation for Autonomous Driving(m/w/x)
München
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
Developing and optimizing generative AI models for synthetic simulation data in autonomous driving at a generative AI firm. Hands-on generative models and diffusion architectures experience required. Comprehensive mentoring, flexible working hours.
Requirements
- Studies in computer science, AI, or related field
- Advanced expertise in ML and deep learning
- Proficiency in Python, PyTorch, Huggingface
- Hands-on experience with generative models, diffusion architectures
- Skill in designing ML pipelines, architectures, workflows
- Experience in synthetic data generation
- Good German and English skills
Tasks
- Help advance synthetic data generation for autonomous driving
- Develop and optimize advanced data generation and simulation models
- Work hands-on with cutting-edge computer vision and latent diffusion models
- Contribute to impactful solutions for autonomous driving environments
- Help optimize machine learning pipelines, architectures, and algorithms
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- Huggingface
Benefits
Mentorship & Coaching
- Comprehensive mentoring
- Onboarding
Learning & Development
- Personal development
- Professional development
Flexible Working
- Flexible working hours
- Mobile work
Other Benefits
- Student apartments
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group 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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BMBMW Group
Intern Synthetic Data Generation for Autonomous Driving(m/w/x)
München
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
Developing and optimizing generative AI models for synthetic simulation data in autonomous driving at a generative AI firm. Hands-on generative models and diffusion architectures experience required. Comprehensive mentoring, flexible working hours.
Requirements
- Studies in computer science, AI, or related field
- Advanced expertise in ML and deep learning
- Proficiency in Python, PyTorch, Huggingface
- Hands-on experience with generative models, diffusion architectures
- Skill in designing ML pipelines, architectures, workflows
- Experience in synthetic data generation
- Good German and English skills
Tasks
- Help advance synthetic data generation for autonomous driving
- Develop and optimize advanced data generation and simulation models
- Work hands-on with cutting-edge computer vision and latent diffusion models
- Contribute to impactful solutions for autonomous driving environments
- Help optimize machine learning pipelines, architectures, and algorithms
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- Huggingface
Benefits
Mentorship & Coaching
- Comprehensive mentoring
- Onboarding
Learning & Development
- Personal development
- Professional development
Flexible Working
- Flexible working hours
- Mobile work
Other Benefits
- Student apartments
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group 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.
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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