AVP, AI/ML - Generative Foundation Models for Biotherapeutics
San DiegoLast seen today
Summary
Lead the scientific vision and execution of a generative AI platform for protein foundation models, starting with antibody and VHH design. You will build and manage a team of AI researchers and ML infrastructure engineers, define pretraining and post-training strategies across self-supervised learning, reinforcement learning, and transfer learning, and design confidence heads with out-of-distribution detection. This is a founding role requiring deep expertise in structure-based generative modeling, multi-node GPU training, and the ability to shape cutting-edge computational approaches for therapeutic molecule discovery.
Data ScienceAIMachine LearningPythonAntibody DesignComputational BiologyDeep LearningDiffusion ModelsEquivariant ArchitecturesFlow MatchingFoundation ModelsGenerative AIGraph TransformersInverse FoldingMlopsModel ScalingMolecular Interaction PredictionMulti Node Gpu TrainingMultimodal IntegrationNvidia GpuOut Of Distribution DetectionProtein DesignPyTorchReinforcement LearningReward Guided OptimizationSelf Supervised LearningStructure Based Generative ModelsTransfer LearningUncertainty Quantification