Enable one or more areas in Google AI Edge Developer Tools such as AI Edge Gallery (Gemma's showcase app for on-device Gemma 0-day), Developer Device Platform (Device farm with AI, enabling developers to test/eval/deploy apps and models across device), and AI Edge Eval (innovative eval framework for on-device model and harness). Train task-specific models of in-app AI enabling Gemma model/runtime co-design (quantization, conversion), build industry-leading on-device AI solutions (voice translate, generative image editing) Enable tooling of GTM for on-device Gemma 0-day (AI Edge Gallery), helping developers to test/eval/deploy across devices.
Enable on-device deployment of key models across various accelerators (GPU/Pixel TPU/NPUs/CPU) on Android, Chrome, and more. Improve performance of on-device model inference via optimizations in the model presentation, on-device runtime and kernel implementation.
Job description provided by Google.
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