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URL: https://jobs.sap.com/job/Walldorf-Senior-Applied-Research-Scientist-%28fmd%29-Knowledge-Graphs-and-Generative-AI-6919...
Submission: On May 11 via api from IE — Scanned from DE

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Sprache
 * Deutsch (Deutschland)
 * English (Global)
 * Français (France)
 * 日本語 (日本)
 * 简体中文 (中国大陆)

Bewerberprofil



Sprache
 * Deutsch (Deutschland)
 * English (Global)
 * Français (France)
 * 日本語 (日本)
 * 简体中文 (中国大陆)

Bewerberprofil



Sprache
 * Deutsch (Deutschland)
 * English (Global)
 * Français (France)
 * 日本語 (日本)
 * 简体中文 (中国大陆)

Bewerberprofil





SENIOR APPLIED RESEARCH SCIENTIST (F/M/D) - KNOWLEDGE GRAPHS AND GENERATIVE AI

Software-Research
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Aufgabenbereich
Alle Bildung und TrainingCommunicationConsulting and Professional
ServicesCorporate OperationsFinanzenInformation TechnologyKundenservice und
UnterstïutzungMarketingPre-SalesRechtSalesSales SupportSekretariat /
AssistenzSoftware- QualitätssicherungSoftware-Design und
EntwicklungSoftware-Development OperationsSoftware-ResearchSoftware-User
ExperienceSolution und Produkt Management
Karrierestatus
Alle AbsolventenAusbildungBerufserfahrenStudenten
Land/Region
AlleDeutschlandÖsterreich


We help the world run better

Our company culture is focused on helping our employees enable innovation by
building breakthroughs together. How? We focus every day on building the
foundation for tomorrow and creating a workplace that embraces differences,
values flexibility, and is aligned to our purpose-driven and future-focused
work. 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. Apply
now!


What you`ll do
At SAP, we are bringing together state-of-the-art AI technology with our
extensive industry-specific data and deep process knowledge to create innovative
AI capabilities across SAP products & services. Large Language Models (LLMs)
hold immense potential to change the way we work and develop products. They are
reshaping the landscape of Machine Learning across various domains. However,
deploying Large Language Models (LLM) for Enterprise applications presents
challenges due to their lack of knowledge about structured and unstructured
assets involving business data models, business process metadata and
documentation, which slows the development progress. It is SAP's mission to
overcome this challenge within the realm of Business AI. Our goal is to provide
Knowledge Graphs (KGs) as key differentiators ensuring that KGs encode knowledge
assets allowing developers to address LLM challenges like hallucination and
compliance, aimed at delivering distinctive generative AI solutions to our
customers. Strong research collaborations with academia, industry and commercial
partners are instrumental to achieve this goal.  

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, or
other relevant disciplines
•    Extensive experience with knowledge graphs in context with Machine Learning
(e.g. large language models, graph embeddings)
•    Deep understanding of opportunities and challenges of collaboration between
industrial and academic research
•    Hands-on experience with at least one well-known Knowledge Graph stack
(e.g. RDF, property graphs)
•    Ideally, professional experience with the combination of knowledge graphs
and large language models in ERP or other business software domains
•    Substantial publication record related to Knowledge Graphs in context with
Machine Learning (e.g. LLMs, Foundation Models, graph embeddings, Graph Neural
Networks (GNNs))

•    Proficiency in Python, and experience with ML frameworks such as PyTorch,
TensorFlow, or similar

 
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.
 

#SAPBusinessAICareers
 

 We build breakthroughs together

SAP innovations help more than 400,000 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. As a cloud company with 200 million users and more than 100,000
employees worldwide, we are purpose-driven and future-focused, with a highly
collaborative team ethic and commitment to personal development. Whether
connecting global industries, people, or platforms, we help ensure every
challenge gets the solution it deserves. At SAP, we build breakthroughs,
together.
 

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. At SAP, we believe we are made stronger by the unique
capabilities and qualities that each person brings to our company, and we invest
in our employees to inspire confidence and help everyone realize their full
potential. We ultimately believe in unleashing all talent and creating a better
and more equitable world.
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. If you are interested in applying for employment with SAP and are
in need of accommodation or special assistance to navigate our website or to
complete your application, please send an e-mail with your request to Recruiting
Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee
Referral Program, according to the eligibility rules set in the SAP Referral
Policy. Specific conditions may apply for roles in Vocational Training.

 

Requisition ID: 390679  | Work Area: Software-Research  | Expected Travel: 0 -
10%  | Career Status: Berufserfahren  | Employment Type: Vollzeit, unbefristet  
| Additional Locations: #LI-Hybrid
 

 




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Ausschreibungsnummer 390679
Ausschreibungsdatum 03.05.2024
Funktionsbereich Software-Research
Karrierestatus Berufserfahren
Anstellungsverhältis Vollzeit, unbefristet
Voraussichtliche Reisetätigkeit 0 - 10%
Standort

Walldorf, DE, 69190

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