Job Description:

Are you a MS or PhD student interested in a 2023 Internship in the field of Applied Sciences? Do you enjoy diving deep into hard technical problems and coming up with solutions that enable successful products that improve the lives of people in a meaningful way?
We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.

Job Responsibilities:

Competitive pay
Impactful project and internship/role deliverables
Hybrid working (team dependent)
Networking opportunities with fellow interns
Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions.
Mentorship and career development
Publications at top-tier peer-reviewed conferences or journals.
Experience in design of experiments and statistical analysis
Experience implementing algorithms using toolkits and self-developed code
Experience in solving business problems through machine learning, data mining and statistical algorithms
Familiar with the core undergraduate curriculum of computer science.
Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.

Job Requirements/Qualifications:

Work closely with scientists and engineering teams (position-dependent)
Work on an interdisciplinary team on customer-obsessed research
Design new algorithms, models, or other technical solutions
Experience Amazon’s customer-focused culture
Enrolled in a PhD or Master’s degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
Experience in any programming language such as Python, Java, C++, or similar scripting and programming languages