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. 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

• You will design and perform experiments on SAP data in the context of Neural Machine Translation and Large Language Models
• You will support training data preparation for machine translation (data cleaning, data collection, data quality assurance)
• You will adapt open-source NLP tools (e.g., sentence segmentation, term recognition) for usage in an SAP context, including data preparation, data annotation if necessary, training and evaluation

What you bring

You are a currently enrolled student (f/m/d) at a university or a university of applied sciences: 

• Studying preferably in the fields: Natural Language Processing, Computer Science, Computational Linguistics      
• Having the following computer skills: Java, Python (at least one of the two), experience with Linux environment and shell scripting is a plus 
• You bring experience in Natural Language Processing concepts 
• Preferably you have: Knowledge about machine translation, large language models and machine learning in general. Practical experience with MT toolkits (e.g., Marian), large language models (e.g., calling OpenAI APIs, or fine-tuning a Llama model),  and with NLP tools in general (e.g., Stanford CoreNLP/stanza, Apache UIMA, Huggingface Transformers). Practical experience with NLP-related deep learning toolkits and frameworks 
• Previous work experience that included software development tasks is highly beneficial 
• Excellent written and verbal communication skills in English, German as a plus

Meet your team

The Machine Translation (MT) team at SAP’s Language Experience Lab develops and operates various components related to machine translation and evaluation of machine translation quality. 
We are looking for a highly motivated working student (f/m/d) for various implementation tasks, experiments, and evaluations around machine translation. 
You’ll be working as part of the MT team on well-defined projects and tasks.

Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.

This is a SAP global, strategic, paid working student position that provides students with opportunities to find purpose in their careers.

#Workingstudent #Werkstudent #Germany #Deutschland #Student #LIHybrid #SAPGermanStudentsCareers

​

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. As a cloud company with two hundred million users and more than one hundred thousand 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, 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. 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: 412557  | Work Area: Software-Research  | Expected Travel: 0 - 10%  | Career Status: Student  | Employment Type: Limited Part Time   | Additional Locations: #LI-Hybrid