Senior Machine Learning Engineer (Large Systems)
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The role
Own the delivery of cutting-edge ML models on a specialized hardware platform, focusing on high-performance training and inference at scale.
Implement state-of-the-art models and optimize them for speed and accuracy, scaling to thousands of accelerators.
Design, run, and analyze ML experiments; benchmark techniques to identify bottlenecks and improve efficiency.
Collaborate with Research, Software, and Product teams to define and test the next generation of AI hardware and software.
Develop production-ready ML pipelines, contribute to software libraries and kernels, and perform code reviews.
Engage with the AI community, stay current with advances, and communicate complex results to diverse audiences.
Implement state-of-the-art models and optimize them for speed and accuracy, scaling to thousands of accelerators.
Design, run, and analyze ML experiments; benchmark techniques to identify bottlenecks and improve efficiency.
Collaborate with Research, Software, and Product teams to define and test the next generation of AI hardware and software.
Develop production-ready ML pipelines, contribute to software libraries and kernels, and perform code reviews.
Engage with the AI community, stay current with advances, and communicate complex results to diverse audiences.
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