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Staff/Principal AI Scientist for Mixture-of-Architecture Foundation Models(m/w/x)
Defining and prototyping advanced multi-modal architectures for intelligent business technologies at a global enterprise software provider. Extensive experience with large-scale ML models on structured data, with publications or model delivery record, required. Flexible working models.
Requirements
- PhD or Master’s degree in Computer Science, AI, or relevant disciplines
- Extensive experience/academic background in Foundation Models on Structured Data, with publications or model delivery record
- Hands-on experience in researching, prototyping, advancing ML models
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow), optionally Graph ML frameworks
- Experience with ML/Knowledge Modeling on structured data (ERP/CRM domain) (plus)
- Exemplary leadership, strategic mindset, superior organizational abilities
- Strong communication and documentation skills for technical/non-technical audiences
Tasks
- Define multi-modal architectures for foundation models
- Prototype multi-modal architectures for foundation models
- Iterate on multi-modal architectures for foundation models
- Define research roadmaps for mixture-of-architecture foundation models
- Define project processes and methods
- Formulate project hypotheses and experiments
- Lead projects with AI Scientist teams
- Balance long-term research with hands-on development
- Guide development of enablement materials for mixture-of-architecture models
- Guide development of blueprints for mixture-of-architecture models
- Enable model training on federated data sources
- Collaborate cross-functionally on value propositions
- Collaborate cross-functionally on partnering ambitions
- Stay updated on foundation model research
- Apply research insights to technical concepts
- Develop ideas for model architectures
- Inform R&D team backlogs and roadmaps
- Perform deep hands-on work
- Train and evaluate foundation models
- Define technical visions for R&D teams
- Define roadmaps for R&D teams
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Graph ML frameworks
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Health and well-being focus
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
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Staff/Principal AI Scientist for Mixture-of-Architecture Foundation Models(m/w/x)
Defining and prototyping advanced multi-modal architectures for intelligent business technologies at a global enterprise software provider. Extensive experience with large-scale ML models on structured data, with publications or model delivery record, required. Flexible working models.
Requirements
- PhD or Master’s degree in Computer Science, AI, or relevant disciplines
- Extensive experience/academic background in Foundation Models on Structured Data, with publications or model delivery record
- Hands-on experience in researching, prototyping, advancing ML models
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow), optionally Graph ML frameworks
- Experience with ML/Knowledge Modeling on structured data (ERP/CRM domain) (plus)
- Exemplary leadership, strategic mindset, superior organizational abilities
- Strong communication and documentation skills for technical/non-technical audiences
Tasks
- Define multi-modal architectures for foundation models
- Prototype multi-modal architectures for foundation models
- Iterate on multi-modal architectures for foundation models
- Define research roadmaps for mixture-of-architecture foundation models
- Define project processes and methods
- Formulate project hypotheses and experiments
- Lead projects with AI Scientist teams
- Balance long-term research with hands-on development
- Guide development of enablement materials for mixture-of-architecture models
- Guide development of blueprints for mixture-of-architecture models
- Enable model training on federated data sources
- Collaborate cross-functionally on value propositions
- Collaborate cross-functionally on partnering ambitions
- Stay updated on foundation model research
- Apply research insights to technical concepts
- Develop ideas for model architectures
- Inform R&D team backlogs and roadmaps
- Perform deep hands-on work
- Train and evaluate foundation models
- Define technical visions for R&D teams
- Define roadmaps for R&D teams
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Graph ML frameworks
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Health and well-being focus
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
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?
- SAP
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Full-timeOn-siteSeniorGarching bei München - SAP
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Senior ML Engineer & Architect - SAP-RPT family(m/w/x)
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Lead Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München - SAP
(Senior) Researcher - Knowledge Graphs and Generative AI(m/w/x)
Full-timeOn-siteExperiencedGarching bei München, Berlin