Huawei's Munich Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.

Join us as a

Working Student / Master Thesis / Internship student in Privacy-Preserving Large Language Models (m/f/d)

Large Language Models (LLMs), e.g., Chat-GPT, are becoming ubiquitous and part of many applications in different industries, e.g., healthcare, finance, law, etc. To build such domain-specific LLMs, usually pre-trained models are finetuned on domain-specific datasets that might include private and sensitive information. Unfortunately, LLMs were found to memorize large parts of their training data and were empirically shown to be vulnerable to several types of attacks. We aim to protect user data at training and inference time and mitigate the risks of privacy leakage by developing novel privacy-enhancing techniques for LLMs. If you are passionate about machine learning research and would like to contribute to making LLMs more privacy-preserving, join us to explore our diverse and exciting ideas to tackle this problem as a Working Student, Master Thesis Student or Master Intern.

Your mission

• Review prior work related to the research topic.
• Develop novel algorithms for privacy-preserving LLMs.
• Implementation and empirical evaluation of the developed methods on public and/or industrial datasets.
• Document the findings and results.

Your areas of expertise

• Study in the field of computer science, mathematics, engineering, physics, or related fields.

• Solid knowledge and practical experience in machine learning and deep learning, including programming skills in Python and at least one deep learning framework, e.g., PyTorch, TensorFlow or JAX.

• Experience with Natural Language Processing tasks in general, and large language models specifically, is a plus.

• Knowledge about privacy-enhancing techniques in AI, e.g., synthetic data generation, and/or differential privacy, is a plus.
• Passion for research and developing novel solutions for complex scientific problems relevant for real-world applications.

• Proficiency in spoken and written English.

By applying to this position, you agree with our RECRUITMENT PRIVACY STATEMENT. You can read in full our recruitment privacy statement via the link below.

http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html

Your rewards of working here

• Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
• We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
• To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.
• Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
• Self-responsible work in a competent, motivated and constantly growing team.

Please send your application and CV (incl. cover letter and reference letters) in English.

Huawei is a leading global information and communications technology (ICT) solutions provider. Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in Telecom and enterprise networks, Devices and Cloud technology and services. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 197,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.