AI Research Engineer

We are looking for an enthusiastic and motivated AI Research Engineer to strengthen our Innovation team in building the foundation of ScreenPoint’s future AI models. For this role we look for someone who can develop foundation models and has experience with state-of-the-art methods (vision transformer networks, vision-language models).

Requirements

• MSc or PhD in Computer Science, Machine Learning, Biomedical Engineering, Applied Mathematics, Physics, or a related technical field
• At least 5 years of experience developing AI or machine learning models in a medical imaging or clinical research context
• Proven ability to translate clinical or scientific questions into appropriate modeling approaches
• Experience working with multimodal data (e.g. imaging combined with clinical or pathology data)
• Strong understanding of model evaluation, calibration, robustness, and subgroup performance in real-world datasets
• Familiarity with foundation models and downstream fine-tuning or adaptation strategies
• Proficiency in Python and deep learning frameworks, and experience working in Linux-based environments