BMW Group
PhD Generative AI for Production Systems(m/w/x)
Part-timeWith HomeofficeNot specified
München
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BMBMW Group
PhD Multimodal Agentic Systems for Prescriptive Maintenance in Automotive Engineering(m/w/x)
München
Part-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Researching multimodal AI for automotive powertrain quality assurance and engineering decisions. Deep learning, NLP, and PyTorch experience required. Christmas bonus, vacation pay, and personal development.
Requirements
- Master's degree in computer science, AI, mathematics, or related technical field
- Proven experience implementing and training deep learning models
- Strong background in natural language processing and transformer architectures
- Proficiency in Python and PyTorch
- Experience with experiment tracking and reproducibility tools
- Solid software engineering practices, including Git, Docker, and clean code
- Excellent English communication skills
- Beneficial German language skills for local stakeholder collaboration
Tasks
- Conduct research in multimodal AI systems
- Focus on automotive powertrain development
- Focus on data-driven quality assurance
- Advance robust, intent-aware models
- Support real-world engineering decision processes
- Enable scalable AI-based assistance systems
- Support design of multimodal learning architectures
- Support implementation of multimodal learning architectures
- Support evaluation of multimodal learning architectures
- Combine text, structured data, and other modalities
- Analyze modality dominance
- Analyze missing modalities
- Analyze corrupted inputs
- Develop robust training strategies
- Consider realistic industrial constraints
- Investigate evaluation methodologies for retrieval systems
- Investigate evaluation methodologies for recommender systems
- Focus on robustness in technical domains
- Focus on generalization in technical domains
- Focus on transferability to production environments
- Collaborate with internal engineering departments
- Collaborate with academic partners
- Publish at top-tier conferences
- Gain exposure to industrial data pipelines
- Support development of scalable prototypes
- Develop prototypes with direct application potential
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- Python
- PyTorch
- Weights & Biases
- MLflow
- Git
- Docker
Benefits
Bonuses & Incentives
- Christmas bonus
Mentorship & Coaching
- Comprehensive mentoring
- Onboarding
Learning & Development
- Personal development
- Professional development
Flexible Working
- Flexible working hours
- Mobile working
Other Benefits
- Digital offers
- Apartment offers for students
- Other benefits
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
PhD Multimodal Agentic Systems for Prescriptive Maintenance in Automotive Engineering(m/w/x)
München
Part-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Researching multimodal AI for automotive powertrain quality assurance and engineering decisions. Deep learning, NLP, and PyTorch experience required. Christmas bonus, vacation pay, and personal development.
Requirements
- Master's degree in computer science, AI, mathematics, or related technical field
- Proven experience implementing and training deep learning models
- Strong background in natural language processing and transformer architectures
- Proficiency in Python and PyTorch
- Experience with experiment tracking and reproducibility tools
- Solid software engineering practices, including Git, Docker, and clean code
- Excellent English communication skills
- Beneficial German language skills for local stakeholder collaboration
Tasks
- Conduct research in multimodal AI systems
- Focus on automotive powertrain development
- Focus on data-driven quality assurance
- Advance robust, intent-aware models
- Support real-world engineering decision processes
- Enable scalable AI-based assistance systems
- Support design of multimodal learning architectures
- Support implementation of multimodal learning architectures
- Support evaluation of multimodal learning architectures
- Combine text, structured data, and other modalities
- Analyze modality dominance
- Analyze missing modalities
- Analyze corrupted inputs
- Develop robust training strategies
- Consider realistic industrial constraints
- Investigate evaluation methodologies for retrieval systems
- Investigate evaluation methodologies for recommender systems
- Focus on robustness in technical domains
- Focus on generalization in technical domains
- Focus on transferability to production environments
- Collaborate with internal engineering departments
- Collaborate with academic partners
- Publish at top-tier conferences
- Gain exposure to industrial data pipelines
- Support development of scalable prototypes
- Develop prototypes with direct application potential
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- Python
- PyTorch
- Weights & Biases
- MLflow
- Git
- Docker
Benefits
Bonuses & Incentives
- Christmas bonus
Mentorship & Coaching
- Comprehensive mentoring
- Onboarding
Learning & Development
- Personal development
- Professional development
Flexible Working
- Flexible working hours
- Mobile working
Other Benefits
- Digital offers
- Apartment offers for students
- Other benefits
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.
Not a perfect match?
- BMW Group
PhD Generative AI for Production Systems(m/w/x)
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Doktorand – Agentenbasierte KI-Systeme und LLMs für industrielle Anwendungen(m/w/x)
Part-timeTemporary contractWith HomeofficeNot specifiedMünchen - BMW Group
PhD ESG Risk Analytics in Global Supply Chain(m/w/x)
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PhD Quantum Computing - Decoded Quantum Interferometry(m/w/x)
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