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2026 Graduate Machine Learning Engineer - Applied AI

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The role

Implement state-of-the-art machine learning models and optimize them for performance and accuracy, scaling to thousands of accelerators.
Evaluate new software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
Benchmark models and key components to identify performance bottlenecks and improve model efficiency.
Design and conduct experiments on novel AI methods, analyse and report results clearly.
Collaborate with Research, Software, and Product teams to define, build, and test next-generation AI hardware.
Stay current with AI research and actively engage with the broader AI and open-source community.

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