Amazon Applied Science Internship Canada Fall 2026 for PhD Students

Amazon is recruiting PhD students for its Fall 2026 Applied Science Internship in Canada. The programme is intended for doctoral students working in technical areas such as machine learning, natural language processing, computer vision, automated reasoning, robotics, or related scientific fields.

The internship is full time and requires a commitment of up to 12 weeks. Available Canadian locations listed by Amazon include Vancouver, Burnaby, Pitt Meadows, and Toronto. Interns are expected to work from the location of their assigned team.

For PhD students who want to move beyond academic theory and work on science problems involving large datasets and production systems, this role provides direct exposure to Amazon Science teams and cross-functional technical work.

Opportunity Overview

Applied Science Interns work with Amazon scientists and other interns on technical problems where experimentation, modelling, and implementation need to come together. The work can involve building end-to-end systems, testing scientific ideas, and supporting projects that may ultimately be deployed into production environments.

Amazon describes the ideal candidate as someone who can work independently, handle ambiguity, pay close attention to detail, and collaborate with people from different technical backgrounds.

Available Position

• Role: Fall 2026 Applied Science Internship – Canada, PhD Student Science Recruiting
• Employer: Amazon.com.ca, ULC
• Locations: Vancouver, Burnaby, Pitt Meadows, British Columbia; Toronto, Ontario
• Schedule: Full time, 40 hours per week
• Duration: Up to 12 weeks

What Interns May Work On

The role centres on turning scientific ideas into practical systems. Depending on team assignment and research focus, an intern may contribute to technical roadmaps, experimentation, modelling, system implementation, and production-level science projects.

The official posting specifically highlights areas including machine learning, natural language processing, computer vision, automated reasoning, and robotics. Interns should be comfortable working with large datasets and applying scientific techniques to problems that do not have obvious solutions.

Eligibility Requirements

Applicants must currently be enrolled in a PhD programme. Amazon also requires candidates to be at least 18 years old, available for full-time work, and able to commit to a maximum 12-week internship.

A key Canada-specific requirement is that the applicant must be enrolled in an academic programme that is physically located in Canada in a relevant field.

Technical Requirements

• Current enrolment in a PhD programme.
• Programming or scripting experience with a language such as Python, Java, C, or C++.
• Ability to relocate to the location where the internship is based.
• Ability to work at least 40 hours per week during the internship.

Amazon lists publications at top-tier peer-reviewed conferences or journals as a preferred qualification rather than a basic requirement.

Location and Relocation Support

Interns must be located with their assigned team. The listing includes offices in Vancouver, Burnaby, Pitt Meadows, and Toronto. Amazon states that relocation and housing assistance is available when an intern is located 50 miles or more from the assigned office.

Salary Range

Amazon lists a Canadian base salary range of CAD 149,300 to CAD 249,300 per year for the locations named in the posting. The company explains that final compensation depends on factors such as experience, qualifications, and location.

The annual figure is the salary rate shown in the official posting. The actual amount received during a 12-week internship would reflect the period worked rather than a full year.

Benefits Mentioned by Amazon

The posting references health insurance coverage, including medical, dental, vision, prescription, basic life and AD&D insurance, as well as RRSP, Deferred Profit Sharing Plan, paid time off, and other health and wellbeing resources. Eligibility and plan details should be confirmed during the hiring process.

Application Deadline

The official listing reviewed does not publish a specific closing date. Because internship recruitment can close when positions are filled, candidates who meet the requirements should prepare and submit their application while the official vacancy remains open.

How to Apply

Apply through the official Amazon Jobs page. Before submitting, make sure your resume clearly states your PhD programme, Canadian institution, technical research area, expected study timeline, programming skills, publications if applicable, and availability for the full internship period.

Application Tips

Connect research to practical impact

Explain how your doctoral research, experiments, or publications relate to real technical problems. A recruiter should be able to see both scientific depth and your ability to build or test working solutions.

Highlight implementation skills

Applied science work is not only theoretical. Include evidence of programming, model implementation, experimentation pipelines, data work, or systems that you have built.

Be clear about location

The role requires interns to be based with their assigned team. Indicate your ability to relocate and avoid leaving work-location availability unclear.

Final Notes

This internship is a specialised opportunity for PhD students studying in Canada who can combine research knowledge with programming and experimentation. The full-time schedule, relocation requirement, and technical expectations make it most suitable for candidates who can devote the internship term entirely to the role.