A company is looking for a Machine Learning Scientist to develop generative models for predicting biomolecular structure.Key ResponsibilitiesDesign and implement diffusion models for predicting biomolecular structure tokensDevelop structure tokenizers and maintain data processing pipelines for large-scale datasetsCollaborate with teams to integrate models into drug discovery workflows and mentor junior membersQualificationsPhD in machine learning, computer science, computational chemistry, physics, or related field, or equivalent industry experienceStrong Python and PyTorch skills for deep learning model implementationExperience in 3D atomistic modeling, vector quantization, or generative modelingFamiliarity with modern ML infrastructure such as Docker and KubernetesFor RS II and Senior levels, industry experience in applying ML methods to drug discovery is expected