Fall Applied Science Internship PhD Student Science

Position: Fall 2026 Applied Science Internship PhD Student Science Recruiting
Description  Are you a PhD student interested in machine learning, natural language processing, computer vision, automated reasoning, or robotics? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems.
A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production.

The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
Basic Qualifications   Are enrolled in a PhD
Are 18 years of age or older
Work 40 hours/week minimum and commit to 12 week internship maximum
Can relocate to where the internship is based
Experience programming or scripting language like Python, Java, C or C +  and are enrolled in an academic program that is physically located in Canada in a relevant field

Preferred Qualifications   Have publications at top-tier peer-reviewed conferences or journals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
The base salary range for this position is listed below:
CAN, BC, Burnaby -  -  CAD annually
CAN, BC, Pitt Meadows -  -  CAD annually
CAN, BC, Vancouver -  -  CAD annually
CAN, ON, Toronto -  -  CAD annually

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