SAP
Lead Research Engineer: Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSenior
Garching bei München
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SASAP
Lead Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Garching bei München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Scaling foundation models for business logic and world models on structured datasets at enterprise software provider. 5+ years professional machine learning experience and hands-on data engineering skills required. Flexible working models, focus on health and well-being.
Requirements
- PhD, Master’s degree in computer science, or relevant discipline
- 5+ years of professional Machine Learning experience
- Ownership of scalable machine learning environments
- Knowledge of Foundation Models on Structured Data
- Hands-on experience in Data Engineering
- Fluency in Python and coding ability
- Experience with SAP Application data models (plus)
- Strong communication and collaboration skills
Tasks
- Advance foundation models on structured data
- Explore world models for business problems
- Define scalable data and training environments
- Lead the creation of training and benchmark datasets
- Integrate semantic context with large-scale business data
- Collaborate on evaluation frameworks and benchmark suites
- Drive exploration of novel tasks
- Make design decisions for underlying technologies
- Execute scientific experiments on internal and public data
- Drive open-source model and software contributions
- Publish research at scientific conferences
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SAP Application
- Foundation Models
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
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
Lead Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Garching bei München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Scaling foundation models for business logic and world models on structured datasets at enterprise software provider. 5+ years professional machine learning experience and hands-on data engineering skills required. Flexible working models, focus on health and well-being.
Requirements
- PhD, Master’s degree in computer science, or relevant discipline
- 5+ years of professional Machine Learning experience
- Ownership of scalable machine learning environments
- Knowledge of Foundation Models on Structured Data
- Hands-on experience in Data Engineering
- Fluency in Python and coding ability
- Experience with SAP Application data models (plus)
- Strong communication and collaboration skills
Tasks
- Advance foundation models on structured data
- Explore world models for business problems
- Define scalable data and training environments
- Lead the creation of training and benchmark datasets
- Integrate semantic context with large-scale business data
- Collaborate on evaluation frameworks and benchmark suites
- Drive exploration of novel tasks
- Make design decisions for underlying technologies
- Execute scientific experiments on internal and public data
- Drive open-source model and software contributions
- Publish research at scientific conferences
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SAP Application
- Foundation Models
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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.
Not a perfect match?
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