Overview 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. Responsibilities and Expectations 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 outstanding internship experience, this is a full‑time internship that 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. Basic Qualifications Enrolled in a PhD program. Capable of working 40 hours per week and committing to a 12‑week internship. Able to relocate to where the internship is based. Experience programming or scripting in languages such as Python, Java, C, or C++. Program is physically located in Canada. Legal 18 years of age or older. Preferred Qualifications Publications at top‑tier peer‑reviewed conferences or journals. Employment Details Compensation is competitive and includes salary, sign‑on payments, and restricted stock units. The base salary range is: CAN BC Burnaby: 149,300.00 – 249,300.00 CAD annually CAN BC Pitt Meadows: 149,300.00 – 249,300.00 CAD annually CAN BC Vancouver: 149,300.00 – 249,300.00 CAD annually CAN ON Toronto: 149,300.00 – 249,300.00 CAD annually Other benefits include 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. Equal Opportunity & Accommodation Statement 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 you’re applying in isn’t listed, please contact your Recruiting Partner. #J-18808-Ljbffr

📌 Fall 2026 Applied Science Internship - Canada, Phd Student Science Recruiting (Toronto)
🏢 Amazon
📍 Toronto