Auf einen Blick
- Aufgaben: Lead innovative research on data privacy in AI, focusing on protecting confidential training data.
- Arbeitgeber: Join SAP, a global leader in enterprise software, dedicated to innovation and collaboration.
- Mitarbeitervorteile: Enjoy a flexible work environment, personal development opportunities, and a supportive team culture.
- Warum dieser Job: Be at the forefront of AI technology, making a real impact on business processes and data security.
- Gewünschte Qualifikationen: PhD or Master's in Computer Science or AI, with experience 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 - 84000 € 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.
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.
Senior/Expert Applied Research Scientist (f/m/d) - Data Privacy-Preserving and Secure AI Arbeitgeber: SAP AG
Kontaktperson:
SAP AG HR Team
Careers@sap.com
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 experiences 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 your technical vision for ensuring data privacy in Foundation Models. Think about innovative methodologies you could propose and be ready to articulate how they align with SAP's mission and values.
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 🫡
Align Your Profile: Carefully read the job description and align your qualifications with the requirements listed. Highlight your experience in data privacy, AI, and machine learning, ensuring that your application reflects how you meet the specific needs of SAP.
Showcase Your Research Experience: Emphasize your publication record and any relevant research projects you've worked on, particularly those related to Foundation Models and differential privacy. This will demonstrate your expertise and commitment to the field.
Technical Skills Matter: Clearly outline your technical skills, especially your proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow. Provide examples of how you've applied these skills in previous roles or projects.
Collaborative Mindset: Highlight your teamwork abilities and any experience collaborating with academic institutions. SAP values a collaborative approach, so showcasing your ability to work well in teams and foster partnerships will strengthen your application.
Wie du dich auf ein Vorstellungsgespräch bei SAP AG vorbereitest
✨Understand the Role and Responsibilities
Make sure you have a clear understanding of the job description and how your skills align with the responsibilities. Be prepared to discuss how your experience in data privacy and AI can contribute to SAP's mission.
✨Showcase Your Technical Expertise
Be ready to dive deep into your technical knowledge, especially regarding Foundation Models and differential privacy. Prepare examples from your past work that demonstrate your proficiency in Python and ML frameworks like PyTorch or TensorFlow.
✨Prepare for Ethical Discussions
Given the focus on data privacy, be prepared to discuss ethical considerations in AI. Think about how you would approach ensuring compliance with legal standards while maintaining data integrity.
✨Highlight Collaboration Skills
SAP values teamwork and collaboration, especially with academic institutions. Be ready to share experiences where you successfully worked in teams or partnered with external organizations to drive research initiatives.