Senior Machine Learning Engineer (Large Systems)
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The role
Lead the implementation and optimization of state-of-the-art ML models tailored for large-scale hardware deployments.
Scale training and inference across thousands of accelerators while maintaining accuracy and efficiency.
Evaluate new software releases, provide feedback, and contribute fixes through code reviews.
Benchmark models and ML techniques to identify bottlenecks and drive performance improvements.
Design and run experiments on novel AI methods, interpret results, and publish findings.
Collaborate with Research, Software, and Product teams to shape the next generation of AI hardware and software.
Scale training and inference across thousands of accelerators while maintaining accuracy and efficiency.
Evaluate new software releases, provide feedback, and contribute fixes through code reviews.
Benchmark models and ML techniques to identify bottlenecks and drive performance improvements.
Design and run experiments on novel AI methods, interpret results, and publish findings.
Collaborate with Research, Software, and Product teams to shape the next generation of AI hardware and software.
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