• Design, implement, train, and iterate on novel deep learning models for TCR–pMHC specificity prediction. • Extend and adapt advances in protein language models, structure prediction, generative modeling, and representation learning to the immune receptor setting. • Utilize scalable training infrastructure to support large-scale model development and experimentation. • Conduct rigorous benchmarking and evaluation strategies to ensure models are scientifically sound and practically superior. • Translate biological principles of T cell recognition into principled modeling decisions. • Influence large-scale experimental data generation to maximize modeling leverage and long-term performance gains. • Provide input and technical recommendations to broader modeling discussions and roadmap planning. • Work closely with computational biology, immunology, translational, and engineering teams to ensure models are robust, reproducible, and aligned with overall product goals. • Communicate modeling insights, approaches, and results to cross-functional scientific audiences. • Contribute to publications, presentations, etc. through technical execution and analysis.