alpha generation , Jax, Pytorch, Execution, pre-training large foundation models, transfer across instruments, self-supervised objectives, evaluation protocols, model-serving components, market making, data efficiency, large-scale market datasets, time-series foundation models, tokenization schemes, model architectures, data representations, distributed training recipes, risk-management tasks, scaling laws, regime robustness, training checkpointing, Pricing

probability , Java, Python, Algorithms, data structures, Statistics, AI technologies, calculus, linear algebra