Nebius
AI Researcher (Early Talent)(m/w/x)
Full-timeWith HomeofficeExperienced
Berlin
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SASAP
PhD Internship - AI Research - Foundation Models on Structured Data(m/w/x)
Berlin
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
AI research on structured data, analyzing semantically linked tables. Contributing to product development for a global enterprise software provider. PhD student (2nd year+) or PostDoc status, strong publication record in ML/NLP conferences required. Flexible working models, opportunity to publish research findings.
Requirements
- PhD student in second year or PostDoc
- Experience in deep learning, transformer architectures, and self-supervised learning
- Strong publication record in recognized ML/NLP conferences or journals
- Proficiency in PyTorch and Python with understanding of statistical analysis and shell programming
- Fluency in English
Tasks
- Conduct research on Foundation Models for Structured Data
- Analyze Semantically Linked Tables
- Publish research findings
- Contribute to research for SAP product development
- Collaborate with academic researchers
- Communicate research plans, progress, and results with cross-functional partners
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- Python
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
Flexible Working
- Flexible working models
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP 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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SASAP
PhD Internship - AI Research - Foundation Models on Structured Data(m/w/x)
Berlin
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
AI research on structured data, analyzing semantically linked tables. Contributing to product development for a global enterprise software provider. PhD student (2nd year+) or PostDoc status, strong publication record in ML/NLP conferences required. Flexible working models, opportunity to publish research findings.
Requirements
- PhD student in second year or PostDoc
- Experience in deep learning, transformer architectures, and self-supervised learning
- Strong publication record in recognized ML/NLP conferences or journals
- Proficiency in PyTorch and Python with understanding of statistical analysis and shell programming
- Fluency in English
Tasks
- Conduct research on Foundation Models for Structured Data
- Analyze Semantically Linked Tables
- Publish research findings
- Contribute to research for SAP product development
- Collaborate with academic researchers
- Communicate research plans, progress, and results with cross-functional partners
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- Python
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
Flexible Working
- Flexible working models
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP 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
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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