• Test new deep learning architectures
• Analysis and preprocessing of different data types (texts, images, time series, graphs, etc.)
• Review latest literature and data
• Orchestration and documentation of deep learning experiments
• Processing and visualization of huge amounts of data
• Applied science in exciting projects
• Preparation of presentations
• Testing software and frameworks

• Enrolled in a master's programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades
• PyTorch skills: experience in training machine learning models with one or more GPUs; ability to work with pre-existing codebases and get a training run going
• Research interest in one or more of the following: Applied ML, Natural Language Processing, Computer Vision, Reinforcement Learning for LLMs, Information Retrieval, Multimodality, Spatio-temporal Modeling, Self-supervised Learning, Biomedical AI
• Understanding of deep learning fundamentals
• Strong data engineering skills in Python with knowledge of NumPy, Pandas, SQL, Bash, Docker, git, etc.
• Willingness to clean large, messy datasets
• Excitement about clean, structured code
• Conscientiousness in implementing, testing, and documenting algorithms
• High degree of proficiency in spoken and written English

• Fascinating challenges in a scientific and entrepreneurial setting
• Attractive salary
• Modern and excellently equipped workspace in a central location
• Great and cooperative working atmosphere in an international team
• Flexible working hours
• Hybrid work environment
• Opportunities to write a master's thesis (depending on topic suitability)

The position is initially limited to 12 months. An extension is explicitly desired.