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Internship in Canada: Amazon 2023 Fall Applied Science for PhD Students

By: Amazon.comLast update:
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Applicant criteria

NationalityNo specific nationality required
SpecialityComputer and Information Sciences, Engineering, Other
Age
  • No specific age required
Gender
  • Both

Opportunity criteria

Job Type
  • Internship
Job FieldsInformation Technology Jobs
Opportunity FieldTechnology and Programming, Engineering and Architecture , Others
Job locationCanada (Ontario)
Needed documentsCV
Deadline2023-04-30

Opportunity description

Amazon is offering 2023 Fall Applied Science Internship – Canada (ON, Toronto). 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.

Duties & responsibilities

Amazon is 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.

Eligibility criteria

  1. Enrolled in a Ph.D. degree in computer science, machine learning, engineering, or related fields.
  2. Experience in designing experiments and statistical analysis of results.
  3. Experience in understanding and ability to implement algorithms using both toolkits and self-developed code.
  4. Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or similar scripting language.

PREFERRED QUALIFICATIONS:

  1. Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
  2. Publication(s) at peer-reviewed conferences or journals.
  3. Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.

About Amazon:

A multinational technology company focusing on e-commerce, cloud computing, and artificial intelligence in Seattle, Washington. It is one of the Big Four or "Four Horsemen" of technology along with Google, Apple and Facebook due to its market capitalization, disruptive innovation, brand equity and hyper-competitive application process. (Wikipedia)

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