Foundation Model Engineer

Foundation Model Engineers train, evaluate, and optimize large-scale neural network models intended for broad applicability across diverse downstream tasks, working on pre-training data pipelines, distributed training infrastructure, model evaluation, and capability benchmarking. They operate at the frontier of AI research and engineering, requiring expertise in transformer architectures, distributed computing, and large-scale data processing. Positions exist primarily at AI research labs and major technology companies.