Machine Learning Intern (Masters) - Summer 2026
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仕事内容
This 12-week summer internship invites you to tackle cutting-edge ML/AI challenges across a global, scalable platform.
Work on research areas including auction theory, game theory, recommender systems, ranking, AdTech, computer vision, causal inference, and big data analytics.
Collaborate with engineers to translate research findings into production-ready ML models that improve discovery, ads, forecasting, fulfillment, and search experiences.
Collect, analyze, and synthesize data to build relevant ML models; write clean, efficient, and sustainable code.
You are pursuing a Master’s degree in CS/ML/Statistics or related fields, graduating 2026–2027, with strong programming and research experience.
Locations include San Francisco, Sunnyvale, New York, or Seattle; on-site only for this program; proficiency in at least one systems language or ML framework is required.
Work on research areas including auction theory, game theory, recommender systems, ranking, AdTech, computer vision, causal inference, and big data analytics.
Collaborate with engineers to translate research findings into production-ready ML models that improve discovery, ads, forecasting, fulfillment, and search experiences.
Collect, analyze, and synthesize data to build relevant ML models; write clean, efficient, and sustainable code.
You are pursuing a Master’s degree in CS/ML/Statistics or related fields, graduating 2026–2027, with strong programming and research experience.
Locations include San Francisco, Sunnyvale, New York, or Seattle; on-site only for this program; proficiency in at least one systems language or ML framework is required.
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