Auf einen Blick
- Aufgaben: Join us to develop innovative strategies for data privacy in AI applications.
- Arbeitgeber: SAP is a global leader in enterprise software, focused on innovation and collaboration.
- Mitarbeitervorteile: Enjoy a flexible work environment, personal development opportunities, and a supportive team culture.
- Warum dieser Job: Be part of a revolutionary project that shapes the future of AI and data privacy.
- Gewünschte Qualifikationen: PhD or Master's in Computer Science or related field; strong background in Machine Learning and data privacy.
- Andere Informationen: Collaborate with academia and contribute to groundbreaking research in a diverse, inclusive workplace.
Das voraussichtliche Gehalt liegt zwischen 72000 - 100000 € pro Jahr.
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.
What you’ll do
Summary: At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate. 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, their limited ability to leverage tabular data leaves a considerable share of enterprise data untapped. It is SAP's mission to overcome this challenge within the realm of Business AI. Our goal is to adapt Foundation Models to SAP data, enabling our clients to solve their business processes more effectively.
The Role: Unique opportunity in the area of data privacy for a newly established Foundation Model on structured business data. Your primary objective is to identify and develop technical strategies to protect our confidential training data, with a particular focus on ensuring differential privacy. This includes scenarios such as unintended data extraction, leakage, or targeted attacks on trained models. Design and implement innovative methodologies to ensure the highest level of data integrity and security, as well as adhering to the highest ethical and regulatory standards with the Foundation Model. Define processes, methods, hypothesis, experiments and review results from the ground up with an understanding to put them together for an End-to-End Foundational Model. Liaise with the legal department to ensure alignment between data privacy approaches and legal requirements. Foster partnerships with academic institutions, promoting research collaborations and knowledge exchange in the field of data privacy. Contribute to thought leadership in a revolutionary new data modality for Foundation Models and Generative AI.
What you bring
- PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines.
- Extensive experience and substantial publication record on the intersection of Foundation Models, Machine Learning, and data privacy research, in particular in differential privacy.
- Strong technical vision on how to ensure data privacy for Foundation Models.
- Deep understanding of issues and opportunities of applying Generative AI in a business context.
- Proficiency in Python, and experience with ML frameworks such as PyTorch, TensorFlow, or similar.
- Exceptional teamwork abilities and strategic thinking skills.
- Professional experience with Machine Learning on structured data, preferably in the ERP or CRM domain.
- Ability to collaborate with academia for research.
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.
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.
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.
Senior / Expert Applied Research Scientist (f / M / D) - Data Privacy-preserving And Secure AI Arbeitgeber: SAP AG
Kontaktperson:
SAP AG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior / Expert Applied Research Scientist (f / M / D) - Data Privacy-preserving And Secure AI
✨Tip Number 1
Familiarize yourself with the latest advancements in differential privacy and Foundation Models. This knowledge will not only help you understand the role better but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Network with professionals in the AI and data privacy fields. Attend relevant conferences or webinars, and connect with researchers who are working on similar topics. This can provide insights into current trends and may even lead to referrals.
✨Tip Number 3
Showcase your collaborative skills by highlighting any past projects where you worked with academic institutions or cross-functional teams. SAP values teamwork, so demonstrating your ability to work well with others is crucial.
✨Tip Number 4
Prepare to discuss how you would approach ensuring data integrity and security in your work. Think of innovative methodologies you could propose and be ready to share your vision for applying Generative AI in a business context.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior / Expert Applied Research Scientist (f / M / D) - Data Privacy-preserving And Secure AI
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you thoroughly understand the responsibilities and requirements of the Senior / Expert Applied Research Scientist position. Highlight your experience with Foundation Models, Machine Learning, and data privacy in your application.
Tailor Your CV: Customize your CV to reflect your relevant experience and skills that align with the job description. Emphasize your technical vision regarding data privacy and any substantial publication record you have in this field.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data privacy. Discuss how your background and expertise can contribute to SAP's mission of enhancing business processes through innovative AI solutions.
Highlight Collaboration Skills: Since the role involves liaising with legal departments and fostering partnerships with academic institutions, make sure to highlight your teamwork abilities and any previous collaborative projects in your application.
Wie du dich auf ein Vorstellungsgespräch bei SAP AG vorbereitest
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects, especially those related to Foundation Models and data privacy. Highlight any publications or collaborations that demonstrate your expertise in the field.
✨Understand SAP's Vision
Familiarize yourself with SAP's mission to integrate AI into business applications. Be ready to articulate how your skills and experiences align with their goals, particularly in enhancing data privacy and security.
✨Demonstrate Technical Proficiency
Make sure to showcase your proficiency in Python and any relevant ML frameworks like PyTorch or TensorFlow. Prepare to discuss specific examples of how you've applied these technologies in your work.
✨Prepare for Ethical Discussions
Given the focus on data privacy, be ready to engage in discussions about ethical considerations in AI. Think about how you would approach challenges related to differential privacy and data integrity.