2024 Summer Applied Science Internship

3 weeks ago

Toronto, Canada Amazon.com.ca, Inc. Full time

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

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.

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.

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

Amazon has science internships located in but not limited to Toronto, CAN; Vancouver B.C., CAN.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

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