Amazon - Seattle, WA

posted about 2 months ago

Full-time - Intern
Seattle, WA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

As an intern at Amazon, you will engage in innovative projects that shape the future of technology. This role offers the opportunity to collaborate with experienced professionals, design and build cutting-edge technologies, and contribute to impactful solutions in a dynamic environment. You will be part of a team that is at the forefront of AI and machine learning, working on real-world challenges that affect millions of customers globally.

Responsibilities

  • Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
  • Design and build innovative technologies in a large distributed computing environment, and help lead fundamental changes in the industry.
  • Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
  • Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
  • Ability to design and code the right solutions starting with broadly defined problems.
  • Work in an agile environment to deliver high-quality software.

Requirements

  • Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis.
  • Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design.
  • Currently enrolled in a Bachelors, Masters, or PhD in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields, with an expected graduation date between 10/2025 - 9/2028.

Nice-to-haves

  • Experience in optimization mathematics such as linear programming and nonlinear optimization.
  • Experience with distributed, multi-tiered systems, algorithms, and relational databases.
  • Candidates with strong interests and academic qualifications/research focus in: Artificial Intelligence, machine learning, and/or Generative AI.

Benefits

  • Competitive hourly wage based on geographic market and experience.
  • Equity and sign-on payments may be provided as part of a total compensation package.
  • Full range of medical, financial, and other benefits.
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