Network and Relational Data (Machine Learning) - Applied Scientist Intern null

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.

About you

Basic Qualifications:

• Master or PhD students in Computer Science, Mathematics, or Statistics
• Good understanding of math skills required in Deep Learning
• Proficient in Python and familiar with at least one deep learning framework (PyTorch, Tensorflow, JAX, etc.)

Preferred Qualifications:

• Have past publication experience in top ML conferences or journals
• Good understanding of popular ML techniques for relational data such as gradient boosting trees, graph neural networks, network embedding, etc

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 in 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