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- Aufgaben: Lead innovative research in AI, focusing on Knowledge Graphs and large language models.
- Arbeitgeber: Join SAP, a global leader in enterprise software, dedicated to helping businesses run better.
- Mitarbeitervorteile: Enjoy a collaborative culture, flexible work options, and numerous benefits tailored for your growth.
- Warum dieser Job: Be part of a cutting-edge team driving AI innovation with real-world impact and personal development opportunities.
- Gewünschte Qualifikationen: PhD or Master’s in relevant fields; expertise in Knowledge Graphs and large language models required.
- Andere Informationen: Work in a diverse, inclusive environment that values health, well-being, and equal opportunity.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
We help the world run better
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 distinctive generative AI solutions to our customers.
The Role:
- 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. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally.
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. At SAP, you can bring out your best.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities.
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
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Senior Researcher (f/m/d): SAP Business AI - SAP Knowledge Graph Arbeitgeber: SAP
Kontaktperson:
SAP 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 colleagues and learn more about the latest trends in AI and Knowledge Graphs.
✨Tip Number 3
Stay updated on the latest research findings in AI and Knowledge Graphs. Being able to discuss recent advancements and how they can be applied to SAP's products will demonstrate your passion and expertise during interviews.
✨Tip Number 4
Prepare to discuss your strategic mindset and organizational abilities. Share examples of how you've led projects in the past, particularly those that required collaboration between academic and industrial partners, as this aligns with SAP's focus on teamwork.
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 and understand the key responsibilities and qualifications required for the Senior Researcher position. Tailor your application to highlight how your experience aligns with these requirements.
Highlight Relevant Experience: In your CV and cover letter, emphasize your extensive experience with Knowledge Graphs and large language models. Provide specific examples of projects you've led or contributed to that demonstrate your expertise in these areas.
Showcase Your Academic Background: Since a PhD or Master’s degree is required, make sure to clearly state your academic qualifications. Include any relevant publications and your network within the fields of LLMs, Foundation Models, or Knowledge Graphs to strengthen your application.
Demonstrate Collaboration Skills: SAP values collaboration, so be sure to mention any experience you have working with academic and industry partners. Highlight your ability to manage research collaborations and contribute to innovative projects.
Wie du dich auf ein Vorstellungsgespräch bei SAP 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 collaborations with academia or industry, as this aligns with SAP's focus on partnerships.
✨Demonstrate Technical Proficiency
Make sure to showcase your proficiency in Python and any experience you have with ML frameworks like PyTorch or TensorFlow. Be ready to discuss specific projects where you've applied these technologies, particularly in the context of AI and knowledge graphs.
✨Align with SAP's Values
Familiarize yourself with SAP's culture of collaboration and inclusion. During the interview, express how your personal values align with theirs, emphasizing your commitment to teamwork and innovation in AI.
✨Prepare for Thought Leadership Discussion
Since the role involves contributing to thought leadership, be ready to discuss recent advancements in AI and how they relate to your work. Bring insights from your publications and be prepared to share your vision for future developments in the field.
