Principal Machine Learning Scientist

Adaptive Biotechnologies is hiring a Principal Machine Learning Scientist to build and assess deep learning models for predicting how T cell receptors interact with peptide–MHC complexes. The role involves using a large proprietary dataset, combining sequence and structural information, and checking how well the models perform in real-world use. It also includes working with computational scientists, immunologists, and machine learning engineers, and using shared GPU resources and engineering support. The advert names deep learning, machine learning, immune receptor datasets, and model training and evaluation as key parts of the work. It does not specify a required degree, years of experience, or other formal qualification. No language requirement is stated. The position is remote and full time. It appears suited to someone with strong experience in machine learning and an interest in immune biology, especially if they want their work to inform diagnostic and therapeutic development.