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MLOps Engineer, LLM Performance (Kernels, Profiling, Serving)

Full-time (40 hours a week, no other engagements) remote AI training work for ML systems engineers, open worldwide: design and solve hard tasks on accelerator kernels, profiling, distributed debugging and LLM inference serving, and review ML systems solutions. JAX, XLA or TPU experience is especially valued.