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Amazon China

  • 1,000 - 50,000 employees

Open Source Software Development Orientation - Applied Scientist Intern null

Shanghai
Contribute to groundbreaking open source projects at Amazon China, leveraging cutting-edge technology with a global leader in innovation.

Opportunity details

Opportunity Type
Internship, Clerkship or Placement

Application dates

Minimum requirements

Accepting International Applications
No
Qualifications Accepted
E
Mathematics & Statistics
I
Artificial Intelligence
Computer Systems and Networks
Cyber Security
Data Science
Design & User Experience
Programming & Software Engineering

Hiring criteria

Entry pathway

See details

Working rights

China

  • Chinese Citizen
  • Chinese Permanent Resident
  • Chinese Student Visa
Read more

Your role

Job Description:

Amazon warmly invites interns who are passionate about deep learning and artificial intelligence to join its team. Amazon hopes to explore new algorithms and models in various research directions and application areas of deep learning together, further expanding the depth and breadth of its research.

Key Job Responsibilities:

  • Develop and maintain the popular open-source machine learning system Deep Graph Library (DGL) using Python/C++

About you

Basic Qualifications:

  • Bachelor's or Master's degree in Computer Science or related majors
  • Solid understanding of CS fundamentals(Data Structures, Algorithm), familiar with Python or C++
  • Good verbal and written communication skills

Preferred Qualifications:

  • Familiar with at least one deep learning framework (Pytorch, Tensorflow)
  • Have past open-source community experience

Benefits

If you join as a full-time employee, you will get the following benefits:

  • Access to medical care
  • Comprehensive insurance
  • Paid time off and holidays
  • Internal transfer opportunities
  • Employee Assistance Program

Training & development

During the internship, you will have the opportunity to delve into subfields or specific application scenarios of deep learning under the guidance of experienced mentors, grasp the development trends and key technologies of the field, create innovative models, and showcase your results to the global scientific and industrial communities through open-source contributions or academic publications.

In addition to daily interactions with colleagues at the AWS Shanghai AI Lab, interns will also have the opportunity to collaborate with colleagues from other departments of Amazon, top professors from leading universities in Shanghai, and world-class experts from around the globe. Moreover, this internship is at least for 4 months and 4 days a week.

Career progression

Amazon offers real-world experience, showing you just what it’s like to work at the highest level, accelerating the progression of your career, and setting you up for success. As a student intern, the knowledge and skills you’ve gained during your studies will come to life. Moreover, an internship at Amazon can eventually become a full-time job.

How to apply

The application and interview process differs from role to role. Here are some of the ways the company gets to know you:

  • Online Application
  • Assessments
  • Phone Screening
  • Interview Loop

Sources

The following sources were used to research this page:

  • amazon.jobs/content/en/career-programs/student-programs/internships-for-students
  • amazon.jobs/en/benefits/global
  • amazon.jobs/content/en/how-we-hire/interviewing-at-amazon
  • youtube.com/@insideamazonvideos

Hiring criteria

You should have or be completing the following to apply for this opportunity.

Entry pathway
Degree or Certificate
Minimum Level of Study
Bachelor or higher
Study Field
E
Mathematics & Statistics
I
Artificial Intelligence
Computer Systems and Networks
Cyber Security
Data Science
Design & User Experience
Programming & Software Engineering

Work rights

The opportunity is available to applicants in any of the following categories.

country
eligibility

China

China

Chinese Citizen

Chinese Permanent Resident

Chinese Student Visa


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