2027 Applied Science Internship - Canada, PhD Student Science Recruiting

Job summary

Design and develop end-to-end science systems, create technical roadmaps, and drive production-level projects supporting Amazon Science. Collaborate with scientists, interns, and cross-functional teams to develop solutions and deploy them into production.

Job details

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

What you’ll do

Design and develop end-to-end science systems, create technical roadmaps, and drive production-level projects supporting Amazon Science. Collaborate with scientists, interns, and cross-functional teams to develop solutions and deploy them into production.

Requirements

Applicants must be enrolled in a relevant PhD program physically located in Canada, be at least 18, and be able to work at least 40 hours per week for an internship of up to 12 weeks. They must be able to relocate to the internship location and have programming or scripting experience in a language such as Python, Java, C, or C++; publications at top-tier peer-reviewed conferences or journals are preferred.

Benefits

• Basic Life Insurance
• AD&D Insurance
• Paid Time Off
• Relocation Assistance
• Housing Assistance

Listed skills

• Problem solving · Preferred
• Attention to detail · Preferred
• Machine learning · Preferred
• Java · Preferred
• C++ · Preferred
• Python · Preferred
• Cross-Functional Collaboration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Machine Learning
• Natural Language Processing
• Computer Vision
• Automated Reasoning
• Robotics
• Scientific Experimentation
• System Design
• System Development
• Python
• Java
• C
• C++
• Cross-Functional Collaboration
• Problem Solving
• Attention to Detail

Job areas

• Science & Research
• Technology
• Data & Analytics
• Software