Research Assistant / Doctoral Candidate in Next-Generation AI Deep Learning Architectures (m/f/d)

Your tasks

• Participating in research within the field of Advanced Architectures such as Transformers, Recurrent Models, and Large Language Models (LLM).
• Conducting research and implementing innovative modifications using TensorFlow, PyTorch, and Keras.
• Rethinking and rebuilding the core mechanisms of models to enhance performance and efficiency.
• Integrating state-of-the-art techniques such as attention mechanisms, sequence modeling, and neural network optimization.

Your profile

• Possess a Master's degree in Computer Science, Data Science, or a related field, demonstrating a solid foundation in technical knowledge
• Proficient in Python programming, showcasing strong coding skills including the development and substantial modifications of module classes in TensorFlow and Keras
• Ability to understand complex problems and solving them efficiently
• Familiarity with state-of-the-art techniques in deep learning
• Knowledge of Large Language Model (LLM) architectures, such as Generative Pre-trained Transformer models, is a plus
• Willingness to learn and work with advanced machine learning development stacks
• Exhibits a work ethic that is diligent, responsible, structured, goal-oriented, and independent
• Good communication abilities and interpersonal skills
• Proficiency in English
• Proficiency in German is a plus