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
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