Abridge is seeking an ML Infrastructure Engineer to design, deploy and optimize the core inference infrastructure powering our machine learning models. You will collaborate with Infrastructure and Research teams to build, deploy and orchestrate AI workloads at scale.
The role emphasizes scalable Kubernetes-based deployment, high performance model serving, and GPU utilization optimization, with strong emphasis on collaboration across research and product teams.
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The following opportunity is for a ML Infrastructure Engineer — Scalable AI & GPU, Equity with FDE Times.
Learn more about the ML Infrastructure Engineer — Scalable AI & GPU, Equity role in the description above.
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