Fall 2026 Applied Science Internship Canada, PhD Student Science Recruiting

Amazon

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profile Job Location:

Vancouver - Canada

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

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. Youll 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.

Amazon Science gives insight into the companys approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. Its the companys ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work.

To ensure a great internship experience please keep these things in mind. This is a full time internship and requires an individual to work 40 hours a week for the duration of the internship. Amazon requires an intern to be located where their assigned team is. Amazon is happy to provide relocation and housing assistance if you are located 50 miles or further from the office location.

For more information on the Amazon Science community please visit .

- 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
- Are enrolled in a academic program that is physically located in Canada in a relevant field

- 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company Amazons package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon offers comprehensive benefits including health insurance (medical dental vision prescription basic life & AD&D insurance) Registered Retirement Savings Plan (RRSP) Deferred Profit Sharing Plan (DPSP) paid time off and other resources to improve health and well-being. We thank all applicants for their interest however only those interviewed will be advised as to hiring status.



CAN BC Burnaby - 149300.00 - 249300.00 CAD annually
CAN BC Pitt Meadows - 149300.00 - 249300.00 CAD annually
CAN BC Vancouver - 149300.00 - 249300.00 CAD annually
CAN ON Toronto - 149300.00 - 249300.00 CAD annually


Required Experience:

Intern

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 ...
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