AI Inference Systems & Optimization

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Описание

Overview Microsoft AI is looking for a Member of Technical Staff, Inference Systems Research to help build the next generation of AI infrastructure powering frontier model development. The Inference Systems team is an applied research team that builds and maintains the infrastructure that runs Microsoft’s frontier models. We partner with researchers to efficiently run models in RL, synthetic data generation, evals, production, and more on one of the largest compute fleets in the world. The team is vertically integrated, owning everything from kernels to inference algorithms, model architecture co-design, ASIC co-design, distributed systems, and profiling and testing tools. Much of our research focus is on optimizing the reinforcement learning loop. We are embedded directly in Microsoft AI’s research org to work as closely as possible with researchers. This role could be a great match for you if you: Understand modern generative AI architectures and how to optimize them for inference. Are familiar with the internals of open-source inference frameworks like vLLM and SGLang. Value clear communication, improving team processes, and being a supportive team player. Are results-oriented, have a bias toward action, and enjoy owning problems end-to-end. Have or can quickly gain familiarity with modern Python and its tooling, PyTorch, Nvidia GPU kernel programming and optimization, Infiniband, and NVLink. Microsoft's mission is to empower every person and every organization on the plan

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