Machine Learning Intern (PhD) - Summer 2026
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The role
Tackle cutting-edge ML/AI challenges through applied research with cross-team impact on product experiences across discovery, ads, forecasting, fulfillment, and search.
Conduct research that can be applied broadly and collaborate with external teams and researchers.
Explore areas including auction and game theory, recommender systems, ranking, AdTech, computer vision, causal inference, and big data analytics.
Collect, analyze, and synthesize findings from data to build relevant ML models and solutions.
Write clean, efficient, and scalable code and contribute to a 12-week summer internship program.
Locations include San Francisco, Sunnyvale, New York, and Seattle offices; remote work is not offered for this internship.
Conduct research that can be applied broadly and collaborate with external teams and researchers.
Explore areas including auction and game theory, recommender systems, ranking, AdTech, computer vision, causal inference, and big data analytics.
Collect, analyze, and synthesize findings from data to build relevant ML models and solutions.
Write clean, efficient, and scalable code and contribute to a 12-week summer internship program.
Locations include San Francisco, Sunnyvale, New York, and Seattle offices; remote work is not offered for this internship.
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