Amazon
7 months ago
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
This is a paid, full-time internship position at Amazon's Toronto office. Specific stipend or salary details are not provided.
Deadline
Oct 1, 2026
Country
United States
University
Amazon

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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
This is a paid, full-time internship position at Amazon's Toronto office. Specific stipend or salary details are not provided.
What's required
Candidates must be currently enrolled in a PhD program in Computer Science or a related field. A strong foundation in Machine Learning is required, along with experience in Natural Language Processing and/or Reinforcement Learning. Applicants should be comfortable writing research code in Python and using PyTorch or TensorFlow. Experience with C++ or Java is a plus. Candidates must have work eligibility for Canada and be able to work full-time in Toronto for about three months.
How to apply
Interested candidates should send a direct message (DM) to Renxian Zhang on LinkedIn or tag someone who may be interested. Ensure you meet the eligibility requirements before applying.
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