We are seeking a skilled Research Associate to contribute to our cutting-edge research in Advanced Architectures. As a key member of our team, you will participate in research activities within the field of Transformers, Recurrent Models, and Large Language Models (LLM).
* You will conduct innovative modifications using TensorFlow, PyTorch, and Keras.
* Rethinking and rebuilding the core mechanisms of models to enhance performance and efficiency.
* Integrate state-of-the-art techniques such as attention mechanisms, sequence modeling, and neural network optimization.
Your expertise in deep learning will be crucial in this role. You should 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.
* Willingsness 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.