Senior Machine Learning Engineer (Large Systems)
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The role
Implement state-of-the-art machine learning models and optimize them for performance and accuracy on large-scale hardware.
Scale training and inference across thousands of accelerators while maintaining model quality.
Test and evaluate new software releases, provide feedback, fix issues, and conduct code reviews.
Benchmark models and ML techniques to identify bottlenecks and improve efficiency.
Design and run experiments on novel AI methods, implement them, and rigorously evaluate results.
Collaborate with Research, Software, and Product teams to shape the next generation of AI hardware and stay engaged with the broader AI community.
Scale training and inference across thousands of accelerators while maintaining model quality.
Test and evaluate new software releases, provide feedback, fix issues, and conduct code reviews.
Benchmark models and ML techniques to identify bottlenecks and improve efficiency.
Design and run experiments on novel AI methods, implement them, and rigorously evaluate results.
Collaborate with Research, Software, and Product teams to shape the next generation of AI hardware and stay engaged with the broader AI community.
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