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AI Research Engineer

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Summary

Designs and implements scalable AI systems, training/inference protocols, and distributed infrastructure to turn research into production-grade solutions.

- Build scalable AI workload systems - Collaborate with researchers on system implementation - Design AI training protocols - Implement AI inference protocols - Improve reliability engineering - Maintain performance privacy and security - Optimize AI system performance - Stay current on AI distributed infrastructure and cryptography - Translate research ideas into production systems

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