Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

192,219 listings · 19,791 employers Counted Oct 5, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (4,946 listings), Starbucks Coffee Company (1,935 listings), Loblaw Companies Limited (1,541 listings).

Common roles: Project manager, Sales representative, Store manager.

21,446 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	81,520.00	12,364
CAD / hour	24.00	6,374
USD / year	95,500.00	1,063
USD / hour	20.00	428
CAD / month	5,538.94	238
CAD / week	750.00	25
CAD / day	380.00	15
GBP / hour	35.00	15
USD / month	5,000.00	15
GBP / year	40,000.00	13

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 2% remote, 18% hybrid, 80% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Amazon

2027 Applied Science Internship - Canada, PhD Student Science Recruiting

Toronto, ON, Canada
Burnaby, BC, Canada
Vancouver, BC, Canada
Pitt Meadows, BC, Canada

Apply About employer

Applications open in a new tab.

Job details

Working hours: 40 hours a week
Posting language: English
Posted: Sep 30, 2026

Original job 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.

Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s 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 https://www.amazon.science. 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++
- Are enrolled in a 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.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The starting pay for this position is listed below. In addition, Amazon offers basic life & AD&D insurance, 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.

Burnaby, BC, CAN - 160,990.00 CAD Annually
Pitt Meadows, BC, CAN - 160,990.00 CAD Annually
Toronto, ON, CAN - 160,990.00 CAD Annually
Vancouver, BC, CAN - 160,990.00 CAD Annually

Apply About employer

More about this job

Responsibilities

The intern will own the design and development of end-to-end systems while driving production-level projects. They will work closely with Amazon scientists to develop and deploy solutions to solve complex business problems.

Requirements

Candidates must be currently enrolled in a PhD program in a relevant field and located in Canada. Proficiency in programming languages such as Python, Java, C, or C++ is required.

Skills

Machine learning
Natural language processing
Computer vision
Automated reasoning
Robotics
Python
Java
C
C++
Data analysis
System design
Scientific research
Technical roadmap development
Problem solving
Cross-functional collaboration

Benefits

Life insurance
AD&D insurance
Paid time off
Relocation assistance
Housing assistance

Visa sponsorship

Not detected in the job text

Keywords

Machine learning
Natural language processing
Computer vision
Automated reasoning
Robotics
Python
Java
C
C++
PhD
Amazon Science
Data science
System development
Production deployment
Scientific innovation
Artificial intelligence
Research
Experimentation
Technical roadmap
Cross-functional teams

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