Founding ML Systems Engineer - Production-Ready Models

Dex partners with a client that builds foundation models for physics and engineering. You’ll be the first dedicated engineering owner for the ML stack, turning research prototypes into robust code and delivering the backend tooling for customers.

You will own model code, training workflows, and distributed training, integrating research branches into a production-ready codebase while improving performance and scalability with PyTorch, Python, Docker, and Kubernetes.

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