Mode of Employment: Limited, max. 20h/week As a working student at Siemens, you have the opportunity to actively contribute in various areas and fully apply your skills. You’ll create impact by Supporting the development of AI-driven avatars, voice models, and emotion recognition systems, simulation systems Conducting research and experiments with LLM-based automation pipelines Evaluating and testing AI models to ensure high quality, robustness, and fairness Collaborating closely with cross-functional teams to integrate AI models into innovative sustainability solution You’re excited to build on your existing expertise, including Education: Currently pursuing a university degree in Computer Science, Machine Learning, Statistics, Natural Language Processing, or a similar field Experience & Skills: Solid foundational knowledge in Machine Learning and Deep Learning; proficiency in Python and familiarity with AI frameworks such as TensorFlow or PyTorch; experience with Git, Conda / Pip virtual environments, VS code; practical experience or coursework in Generative AI, Computer Vision, or Natural Language Processing; basic understanding of data engineering concepts (SQL, data pipelines); curiosity and motivation to explore innovative AI applications; Mechanical Engineering background is a plus Ways of working: Enthusiasm for continuous learning and self-improvement; ability to take ownership of your tasks while being a strong team player; excitement for working in a fast-paced, dynamic environment with a hands-on attitude; passion for creating meaningful, sustainable solutions using the latest AI technologies Field of Focus: Large Language Models (LLMs); Natural Language Processing (NLP), including voice synthesis and text processing; full pipeline experience from data collection to model training and testing; simulation systems (CAE, CAD) You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you! Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. About us Join our team and help shape the future of communication, energy efficiency, and mobility! We are looking for dedicated working students who can put theories into practice and think creatively. Take the opportunity to contribute to our global network, make valuable connections, and lay the foundation for your professional and personal future. We look forward to your talent! www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens. FAQ – if you need further information on the application process. If you have more questions please contact: www.siemens.de/fragenzurbewerbung sagworkingstudent