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Job Description
- Collaborate closely with DeepMind, CoreML, and Research to adapt and implement the Gemini Nano model for mobile user applications.
- Build simple, solid, and impactful developer-facing ML Kit and AICore APIs to empower both first-party and third-party app developers to create innovative user experiences with GenAI technologies in Android applications.
- Optimize the on-device inference latency and resource consumption for various Gemini Nano versions (V1, V2, V3, V4, etc.), ensuring they are optimally integrated into the mobile environment across the Android ecosystem.
- Work closely with product teams to innovate and implement novel user experiences and agentic workflows, leveraging techniques like Functional Calling, Retrieval-Augmented Generation (RAG), constraint decoding, gemma embedding, multi-modal processing, traditional machine learning models, LoRAs, and targeted Large Language Model (LLM) fine-tuning.