Embedded ML Engineer — Hardware-Aware Model Optimization
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Zendar seeks experienced ML engineers to optimize and deploy models on heterogeneous embedded platforms, bridging research models and production hardware. You will work at the intersection of ML, compilers, runtimes, and computer architecture to deliver highly optimized implementations.
A core focus is balancing model quality with computational efficiency, collaborating with researchers to develop hardware-aware architectures, identify bottlenecks, and explore architectural changes that improve
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