St. Leon-Rot, Germany Role overview
About this role
We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
What you´ll build
- You will design and perform experiments on SAP data in the context of machine translation with (fine-tuned) 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: Computer Science, Computational Linguistics
- Having the following computer skills: Python, experience with Linux environment and shell scripting is a plus
- Preferably you have: Knowledge about machine translation, large language models and machine learning in general. Practical experience with large language models (e.g., usin g OpenAI APIs, or fine-tuning a Llama model), and with NLP tools in general (e.g., Stanford CoreNLP/stanza, Huggingface Transformers). Ideally, experience with supervised fine-tuning and reinforcement learning of LLMs
- Previous work experience that included software development tasks is highly beneficial
- Excellent written and verbal communication skills in English, German as a plus
Where you belong
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 #SAPNextGen #LifeAtSAP
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 world.
SAP is committed to the values of Equal Employment Opportunity and provides 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.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 459766 | Work Area: Software-Research | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Part Time | Additional Locations: #LI-Hybrid