SAP
Lead Research Engineer: Foundation and World Models on Structured Data(m/w/x)
Vollzeitnur vor OrtSenior
Garching bei München
Neuer Job?Nejo!
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SASAP
Staff/Principal AI Scientist for Mixture-of-Architecture Foundation Models(m/w/x)
Garching bei München, Walldorf, Berlin, Potsdam
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- Graph ML frameworks
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Lockere Unternehmenskultur
- Culture of inclusion
Gesundheits- & Fitnessangebote
- Health and well-being focus
Flexibles Arbeiten
- Flexible working models
Ergonomischer Arbeitsplatz
- Accessibility accommodations
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens SAP erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- SAP
Lead Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SAP
(Senior) Researcher - Foundation and World Models on Structured Business Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SAP
(Senior) Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SAP
Senior Researcher - Foundation and World Models on Structured Business Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München
SASAP
Staff/Principal AI Scientist for Mixture-of-Architecture Foundation Models(m/w/x)
Garching bei München, Walldorf, Berlin, Potsdam
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- Graph ML frameworks
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Lockere Unternehmenskultur
- Culture of inclusion
Gesundheits- & Fitnessangebote
- Health and well-being focus
Flexibles Arbeiten
- Flexible working models
Ergonomischer Arbeitsplatz
- Accessibility accommodations
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens SAP erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
SAP
Branche
IT
Beschreibung
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
Noch nicht perfekt?
- SAP
Lead Research Engineer: Foundation and World Models on Structured Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SAP
Lead Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SAP
(Senior) Researcher - Foundation and World Models on Structured Business Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SAP
(Senior) Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SAP
Senior Researcher - Foundation and World Models on Structured Business Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München