Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Lead innovative research on AI and Knowledge Graphs to transform business applications.
- Arbeitgeber: Join SAP, a global leader in enterprise software with a focus on collaboration and innovation.
- Mitarbeitervorteile: Enjoy a flexible work environment, personal development opportunities, and a culture of inclusion.
- Warum dieser Job: Be at the forefront of AI technology, contributing to impactful projects and publications.
- Gewünschte Qualifikationen: PhD or Master’s in relevant fields; experience with Knowledge Graphs and large language models required.
- Andere Informationen: Work hybrid from Walldorf or Berlin, with minimal travel expected.
Senior Researcher (f/m/d): SAP Business AI – SAP Knowledge Graph
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
What you`ll do
At SAP, we’re integrating state-of-the-art AI technology with our industry-specific data and deep process knowledge to innovate across SAP products & services. Our goal is to provide Knowledge Graphs (KGs) as key differentiators to address challenges in business applications and enable the development of foundation models on structured data.
- Establish and manage research collaborations with academia, industry and commercial partners
- Contribute pioneering technical advances to the combination of knowledge graphs and large language models, including hands-on contributions to model code
- Enable academic research by providing Business AI relevant problem statements, frameworks and data sets
- Keep the pulse with the research, providing insights into the latest research findings and making them comparable with internal work
- Translate project innovations into research publications and contribute to thought leadership in large language models and Generative AI.
- Work closely with the knowledge graph team to exchange information and ensure that internal initiatives and project deliverables are aligned with community best practices.
What you bring
- PhD or Master’s degree in Computer Science, Artificial Intelligence, physics, mathematics or other relevant disciplines
- Extensive experience with Knowledge Graphs as well as large language models (e.g. graph embeddings)
- Proven experience and deep understanding of the opportunities and challenges associated with collaboration between industrial and academic research
- Candidate must have an academic background in one of the following fields: LLMs, Foundation Models, or Knowledge Graphs, supported by a substantial record of related publications and a well-established network in these fields.
- Proficiency in Python, and experience with ML frameworks such as PyTorch, TensorFlow, or similar. Optionally, hands-on experience with RDF, Neo4j, TypeDB, PyG or similar technologies
- Ideally, professional experience with the combination of knowledge graphs and large language models in ERP domain
- Proven history of leading projects with a strategic mindset complemented by superior organizational abilities
Meet your team
SAP’s AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value.
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone feels included and can run at their best. SAP is proud to be an equal opportunity workplace and is an affirmative action employer.
Requisition ID: 411747 | Work Area: Software-Research | Expected Travel: 0 – 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: Walldorf or Berlin | #LI-Hybrid
#J-18808-Ljbffr
Senior Researcher (f/m/d): SAP Business AI - SAP Knowledge Graph Arbeitgeber: SAP SE
Kontaktperson:
SAP SE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Researcher (f/m/d): SAP Business AI - SAP Knowledge Graph
✨Tip Number 1
Make sure to showcase your experience with Knowledge Graphs and large language models in your conversations. Highlight specific projects where you've successfully integrated these technologies, as this will resonate well with the team at SAP.
✨Tip Number 2
Network with professionals in the AI and research community, especially those who have connections to SAP. Attend relevant conferences or webinars to meet potential collaborators and gain insights into current trends that could be beneficial for your application.
✨Tip Number 3
Stay updated on the latest research findings in the fields of LLMs and Knowledge Graphs. Being able to discuss recent advancements and how they can be applied to SAP's initiatives will demonstrate your passion and expertise during interviews.
✨Tip Number 4
Prepare to discuss your strategic mindset and organizational abilities by providing examples from your past experiences. SAP values leadership in projects, so illustrating how you've successfully led initiatives will strengthen your candidacy.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Researcher (f/m/d): SAP Business AI - SAP Knowledge Graph
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Researcher position. Understand the key responsibilities and required qualifications, especially regarding Knowledge Graphs and large language models.
Highlight Relevant Experience: In your CV and cover letter, emphasize your academic background and any relevant experience with Knowledge Graphs, large language models, and collaboration between industrial and academic research. Include specific projects or publications that showcase your expertise.
Tailor Your Application: Customize your application materials to reflect SAP's values and culture. Mention how your skills align with their focus on collaboration, innovation, and personal development. Show enthusiasm for contributing to their AI initiatives.
Proofread and Format: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your CV is well-organized and formatted professionally, making it easy for the hiring team to review your qualifications.
Wie du dich auf ein Vorstellungsgespräch bei SAP SE vorbereitest
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to Knowledge Graphs and large language models. Highlight any publications or collaborations that demonstrate your expertise and how they align with SAP's goals.
✨Demonstrate Technical Proficiency
Make sure to showcase your proficiency in Python and familiarity with ML frameworks like PyTorch or TensorFlow. Be ready to discuss specific projects where you applied these technologies, particularly in the context of AI and knowledge graphs.
✨Emphasize Collaboration Skills
SAP values collaboration, so be prepared to share examples of how you've successfully worked with academic and industry partners. Discuss any challenges you faced in these collaborations and how you overcame them to achieve successful outcomes.
✨Stay Updated on Industry Trends
Research the latest advancements in AI, particularly in knowledge graphs and generative AI. Being able to discuss recent findings and how they could impact SAP's work will show your passion for the field and your commitment to continuous learning.
