AI Scientist
SAP · Software Development
- Location: Garching bei München, Berlin, Potsdam (Germany)
- Work arrangement: remote in country
- Employment type: Full Time
- Seniority: senior
- Posted:
Job description
Position:
Staff/Principal AI Scientist (f/m/d) for Mixture-of-Architecture Foundation Models
Company:
SAP
Location:
Germany, Garching bei München (Munich), 85748
Employment type:
Regular Full Time
Short Summary:
At SAP Business AI, we are exploring the next frontier of AI on structured business data. As Staff/Principal AI Scientist, you will lead in defining and prototyping a composable, multi-modal architecture for foundation models across structured and unstructured data.
Responsibilities:
- Define research roadmap for mixture-of-architecture foundation models.
- Lead projects with a team of AI Scientists.
- Balance long-term research with hands-on coding and experimentation.
- Guide development of enablement materials for training models.
- Collaborate cross-functionally to inform value proposition and partnerships.
Requirement:
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or relevant disciplines.
- Strong background in Foundation Models with a substantial publication record.
- Experience with foundation models for large structured data or multimodal foundation models is a plus.
- Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.
- Strong communication and documentation skills for technical and non-technical audiences.
Benefits:
- Constant learning and skill growth.
- Great benefits and a supportive team environment.
- Opportunities for personal development and collaboration with exceptional colleagues globally.
Staff/Principal AI Scientist (f/m/d) for Mixture-of-Architecture Foundation Models
Company:
SAP
Location:
Germany, Garching bei München (Munich), 85748
Employment type:
Regular Full Time
Short Summary:
At SAP Business AI, we are exploring the next frontier of AI on structured business data. As Staff/Principal AI Scientist, you will lead in defining and prototyping a composable, multi-modal architecture for foundation models across structured and unstructured data.
Responsibilities:
- Define research roadmap for mixture-of-architecture foundation models.
- Lead projects with a team of AI Scientists.
- Balance long-term research with hands-on coding and experimentation.
- Guide development of enablement materials for training models.
- Collaborate cross-functionally to inform value proposition and partnerships.
Requirement:
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or relevant disciplines.
- Strong background in Foundation Models with a substantial publication record.
- Experience with foundation models for large structured data or multimodal foundation models is a plus.
- Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.
- Strong communication and documentation skills for technical and non-technical audiences.
Benefits:
- Constant learning and skill growth.
- Great benefits and a supportive team environment.
- Opportunities for personal development and collaboration with exceptional colleagues globally.
Skills
- ml
- python
- pytorch
- tensorflow
Languages
EN, DE
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