Required qualifications: MSc or PhD in Computer Science, Mathematics, Physics, or a related scientific field 5+ years of hands-on, industry experience training deep learning models (e.g., transformers, vision models, or related architectures) Experience with large-scale pretraining and foundation models Strong engineering background, specifically building machine learning infrastructure for training large models Strong practical experience with PyTorch (or similar frameworks) Solid understanding of optimization and representation learning Strong experience in experimental design, statistical evaluation, and working with large, complex datasets Ability and willingness to adapt to a new domain (biology)
