Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Translate research into product impact and improvements in generative AI quality. Develop and evaluate new ML models with large scale user logs data. Build infrastructure for processing large scale data and perform statistical data analysis to derive actionable insights.
Drive applications of ML models to improve quality for various core Google products. Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
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