Internship: Research Engineer Anonymization LLMs – F/M (Mougins Cedex, FR, 06254)


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


In virtually all enterprise productive landscapes, it is possible to identify personal data as a relevant part of business processes.

Quantitative data analysis on such business processes must therefore foresee special cares for personal data, as prescribed by many data protection legal frameworks (e.g. GDPR in Europe). However, in critical domains such HR or healthcare, it is often not possible to draw a clear separation between personal and non-personal data.


  • The internship objectives consist of identifying the pieces of information that qualify as personal data in a privacy-sensitive communication and anonymizing such information using the appropriate techniques.
  • During the internship, the intern will use different LLMs, following their rapid evolution and releases, with different approaches from zero-shot to few-shot learning, and evaluate the suitability of NLP tasks for anonymization, such as:
    • automatic text summarization
    • argument mining
    • question answering
    • and others to understand their performance and suitability for detecting personal data in the form of complex linguistic structures.


The evaluation will consist of setting up a business-relevant, realistic use case in one of the privacy-critical domains to evaluate how the different techniques perform against the identification of such personal data. This internship is research-oriented.


What you bring


  • Last year of Master’s degree or more, in Data Sciences
  • Experience with NLP
  • Good knowledge of the Python programming language
  • Good knowledge of Natural Language Processing techniques (transformers, text-to-text, LLMs)
  • Fluency in English, spoken and written (working language)
  • Good oral and written communication skills


  • 6-month internship
  • Full-time
  • Start: beginning of 2024


Meet your team


Maintaining security is a constantly shifting task, and we need to respond with continuous learning and research. The portfolio of SAP Security Research contains those topics that we believe are most important for SAP’s security future.


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: [email protected]
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.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 381075  | Work Area: Software-Design and Development  | Expected Travel: 0 – 10%  | Career Status: Student  | Employment Type: Intern   | Additional Locations: #LI-Hybrid.

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