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Building this “productivity flywheel” for human-AI collaboration requires methodological innovation to learn from data and translate that learning into advances at all levels of the AI stack, from the model and system level to the application and user interaction. In this quantitative role, the Research Intern will draw on cutting-edge methods from one or more of computer science, computational social science, economics, and data science to help build the next generation of human-AI productivity systems.
Other Requirements
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Additionally, AI & Productivity Research Interns will complete a full scientific research project, from project selection through technical work and analysis, and finally drafting a manuscript to submit for publication.
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