Machine Learning Intern (PhD) - Summer 2026
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El puesto
This is a 12-week, on-site Machine Learning Engineer internship for PhD candidates in CS/ML graduating 2026–2027.
You will conduct applied ML research across domains such as recommender systems, ranking, auction-inspired optimization, AdTech, computer vision, and causal inference.
You will collect, analyze, and synthesize data to build production-ready ML models and scalable code.
Collaborate with cross-functional teams, participate in external collaborations, and provide mentoring where appropriate.
Opportunities exist in San Francisco, Sunnyvale, New York, or Seattle offices, with a focus on real-world product impact.
Ideal candidates are pursuing a PhD in CS/ML, proficient in at least one ML framework or systems language, and strong in communication and problem solving.
You will conduct applied ML research across domains such as recommender systems, ranking, auction-inspired optimization, AdTech, computer vision, and causal inference.
You will collect, analyze, and synthesize data to build production-ready ML models and scalable code.
Collaborate with cross-functional teams, participate in external collaborations, and provide mentoring where appropriate.
Opportunities exist in San Francisco, Sunnyvale, New York, or Seattle offices, with a focus on real-world product impact.
Ideal candidates are pursuing a PhD in CS/ML, proficient in at least one ML framework or systems language, and strong in communication and problem solving.
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