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Amazon

PhD Internship in Conversational and Generative AI at Amazon Alexa AI, Toronto Amazon in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Oct 1, 2026

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Country

United States

University

Amazon

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Keywords

Computer Science
Information Technology
Natural Language Processing
Python Programming
Reinforcement Learning
Multi-agent System
Machine learning

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About this position

Amazon Alexa AI in Toronto is offering a PhD internship opportunity for Summer 2026, led by Renxian Zhang, Applied Science Manager. The team focuses on cutting-edge research in conversational and generative AI, including dialogue quality, personalization, multi-agent systems, and self-improving language models. Interns will collaborate closely with scientists, gaining hands-on experience in research and development for Alexa+.

The ideal candidate is currently enrolled in a PhD program in Computer Science or a related field, with a strong background in Machine Learning, and experience in Natural Language Processing (NLP) and/or Reinforcement Learning. Proficiency in Python and PyTorch (or TensorFlow) is required, and familiarity with C++ or Java is considered a plus. The research aims for high-quality outcomes suitable for top-tier conferences such as ACL, EMNLP, NAACL, NeurIPS, and ICML.

This is a full-time, paid internship based in Toronto, requiring work eligibility in Canada and the ability to work 40 hours per week on-site for approximately three months. The position offers a unique opportunity to engage in impactful AI research within a real-world conversational setting at Amazon.

To apply, interested candidates should contact Renxian Zhang via LinkedIn direct message or tag potential applicants. Ensure all eligibility requirements are met before applying. The application window is open for Summer 2026 internships.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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