Senior Machine Learning Engineer (Large Systems)
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The role
Design, implement, and optimize state-of-the-art ML models for large-scale AI hardware.
Scale and accelerate ML workloads across thousands of accelerators, focusing on performance and accuracy.
Benchmark models, identify bottlenecks, and optimize training and inference pipelines.
Design and conduct experiments on novel AI methods, evaluate results, and iterate rapidly.
Collaborate with Research, Software, and Product teams to define and test the next generation of AI hardware and software.
Engage with the AI community, stay updated on developments, and contribute to internal libraries and reference applications.
Scale and accelerate ML workloads across thousands of accelerators, focusing on performance and accuracy.
Benchmark models, identify bottlenecks, and optimize training and inference pipelines.
Design and conduct experiments on novel AI methods, evaluate results, and iterate rapidly.
Collaborate with Research, Software, and Product teams to define and test the next generation of AI hardware and software.
Engage with the AI community, stay updated on developments, and contribute to internal libraries and reference applications.
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