We are looking for an experienced Research Assistant to collaborate on groundbreaking research projects in Advanced Architectures. In this role, you will be responsible for conducting research and implementing innovative modifications using TensorFlow, PyTorch, and Keras.
* You will re-examine and rebuild the core components of models to boost performance and efficiency.
* Integrate advanced techniques such as attention mechanisms, sequence modeling, and neural network optimization.
Your proficiency in deep learning is essential. You should have a Master's degree in Computer Science, Data Science, or a related field, showcasing a solid understanding of technical concepts.
* Skilled in Python programming, with expertise in developing and modifying module classes in TensorFlow and Keras.
* Able to analyze complex problems and find efficient solutions.
* 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 beneficial.
* Willingness to learn and work with cutting-edge machine learning development tools.
* Strong work ethic, being diligent, responsible, structured, goal-oriented, and independent.
* Excellent communication and interpersonal skills.
* Fluency in English.
* German proficiency is a plus.