Build large-scale multimodal models of human attention and behavior using novel interaction signals, machine learning (ML), data analysis, natural language processing (NLP), and computer vision. Develop and evaluate ML models on large-scale user logs to predict behavior, and build the infrastructure for model training and serving. Run statistical analysis to find insights and publish research papers that contribute to ML, NLP, and computer vision.
Share results with the partner Product Area (PAs) to drive design and launch decisions. Work closely with them to fold models into products like Gemini and Search and make quality measurably better. Lead research projects independently, adapt to new information, and communicate findings within a collaborative team.
Job description provided by Google.
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