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Guide to Internships at Amazon

Company Description

Amazon aims to be Earth’s most customer-centric company online store, and is currently the world’s most popular e-commerce platform. Amazon.com strives to gives customers - low prices, vast selection, and convenience. Amazon has expanded into many fields releasing services such as AWS and products like Amazon Alexa.

General Information

  • Industry: Internet, E-Commerce
  • Founded: 1994
  • Type: Publicaly Traded
  • Headquarters: 123 Boren Seattle, WA 98109 United States
  • Company Size: 10,000+ Employees
  • Average Employee Age: 27
  • Tech Stack: Java, C++, Pearl, Python, jMock

How to get an interview?

  • Apply Online
  • Career Fairs: University of California Berkeley, University of California Davis, University of California Irvine, University of California San Diego, University of Washington Seattle
  • Employee Referral

Internship Overview

  • Application Opening: Year around, most recruiting begins November
  • Internship Locations: Seattle WA, San Francisco CA, Mountain View CA, Irvine CA, New York City NY
  • Internship Length: 12 weeks
  • Housing Stipend: $2500 monthly
  • Intern Class Size: 1600 total interns

Interview Process

  1. Coding challenge that will involve debugging.
  2. Technical phone interview over the phone and collabedit. Expect medium Leetcode problems.

Previous Intern Experiences

Software Development Intern

  • Development of the Kindle metrics dashboard using Flask (Python)
  • Contribute to Relational Database Services (RDS) team within Amazon Web Services (AWS).
  • Work on RDS frameworks and developer tools
  • Making modifications to support the creation of database instances with specific OS instances (AWS)
  • Machine Learning: develop and evaluate neural network architectures for movie and book recommendations.
  • Machine Learning: develop statistical learning algorithms for predicting a customer’s gender and age from their purchase history forthe purpose of generating apparelrecommendations.
  • Implement Video Ad Support in Amazon Advertising Platform.
  • Design and implement GUIs for running arbitrary queries against Amazon’s massive clickstream using: Java, Google Web Toolkit, Amazon Web Services, TestNG, Spring, Hibernate, MySQL, Tomcat, Hadoop, Perforce, HTML, CSS
  • Machine Learning: Real time object localization and recognition with Convolutional Neural Networks.

Supply Chain and Logistics

  • Optimize transportation flow from distribution center to end consumer.
  • Develop analytical models to decrease transportation cost in operational regions within specific carrier constraints.
  • Model large scale supply-chain problems of Amazon centers in Seattle, WA
  • Apply classical Operational Research techniques (for e.g. column generation) to solve efficiently the IP formulation
  • Perform experiments on forecast and historical data and find places for improvement

Compensation Table

Role Reported Compensation
Software Development Intern - Hourly $45