SAP
Architect for Foundation Model and Data Platform(m/w/x)
Vollzeitnur vor OrtSenior
Potsdam, Walldorf, Berlin, München
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SASAP
Tech Lead & Staff Scientist for Multimodal Foundation Models: Semi-structured Data(m/w/x)
VollzeitVor OrtSenior
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Prototyping multimodal foundation models for semi-structured data, including code. PhD or Master's degree with LLM expertise required. Constant learning and skill growth.
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Anforderungen
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or relevant disciplines
- Strong expertise in LLMs, foundation models, and/or world models with publication record or applied research experience
- Hands-on experience in researching, prototyping, and advancing machine learning models
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)
- Exemplary leadership and strategic mindset with superior organizational abilities
- Strong communication skills for explaining model architectures to technical and business audiences
- Optional experience with multimodal or structured-data foundation models, Graph ML, knowledge graphs, world models, distributed or federated learning, and enterprise data
Aufgaben
- Define, prototype, and iterate a composable, multi-modal architecture for foundation models
- Focus on semi-structured data, including highly structured text or code
- Collaborate with a Tech Lead for structured business data
- Translate advances in LLMs, multimodal learning, and structured-data modeling into research directions, model architectures, and evaluation approaches
- Define technical direction and guide execution across multiple R&D teams
- Make hands-on contributions to critical prototypes and experiments
- Establish a new multimodal foundation model initiative
- Shape the research agenda, technical direction, and architecture for semi-structured data modalities
- Identify high-potential research opportunities for differentiated business value
- Translate research opportunities into a focused, evolving research and technical roadmap
- Align the work of AI scientists and engineers across research hypotheses, experiments, and architecture decisions
- Establish a high technical bar through architecture reviews, evaluation standards, and rigorous experimentation
- Contribute hands-on to validate key concepts, advance prototyping, and accelerate development
- Collaborate cross-functionally to inform value proposition and partnering ambitions
Berufserfahrung
ca. 4 - 6 Jahre
Ausbildung
Doktor / Ph.D.
Sprachen
Englisch – verhandlungssicher
Tools & Technologien
PythonPyTorchTensorFlowLLMsfoundation modelsworld modelsGraph MLknowledge graphsmultimodal foundation modelsstructured-data foundation modelsdistributed learningfederated learning
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
- Focus on learning and development
Sonstige Vorteile
- Great benefits
- Accessibility accommodations
Mentoring & Coaching
- Team growth support
Lockere Unternehmenskultur
- Collaborative team environment
- Caring team environment
- Culture of inclusion
Boni & Prämien
- Recognition for individual contributions
Mitarbeiterrabatte
- Variety of benefit options
Gesundheits- & Fitnessangebote
- Focus on health and well-being
Flexibles Arbeiten
- Flexible working models
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