Ph.D. or M.S. in Computer Science, Chemistry, Physics, or related discipline, or equivalent experience 5+ years of hands-on experience in building and deploying deep learning models Strong proficiency in Python, PyTorch and NumPy Proven experience in designing and implementing novel neural network architectures Experience with machine learning for spectral analysis, structure prediction, or molecular representation learning is a strong plus Familiarity with scientific data formats (e.g., HDF5, mzML, Zarr)