Working Student (f/m/d) - Machine Translation/Natural Language Processing

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