Your tasks
1. Participating in research within the field of Advanced Architectures such as Transformers, Recurrent Models, and Large Language Models (LLM).
2. Conducting research and implementing innovative modifications using TensorFlow, PyTorch, and Keras.
3. Rethinking and rebuilding the core mechanisms of models to enhance performance and efficiency.
4. Integrating state-of-the-art techniques such as attention mechanisms, sequence modeling, and neural network optimization.
Your profile
5. Possess a Master's degree in Computer Science, Data Science, or a related field, demonstrating a solid foundation in technical knowledge
6. Proficient in Python programming, showcasing strong coding skills including the development and substantial modifications of module classes in TensorFlow and Keras
7. Ability to understand complex problems and solving them efficiently
8. Familiarity with state-of-the-art techniques in deep learning
9. Knowledge of Large Language Model (LLM) architectures, such as Generative Pre-trained Transformer models, is a plus
10. Willingness to learn and work with advanced machine learning development stacks
11. Exhibits a work ethic that is diligent, responsible, structured, goal-oriented, and independent
12. Good communication abilities and interpersonal skills
13. Proficiency in English
14. Proficiency in German is a plus