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2024 Fall Applied Science Internship - United States, PhD Student

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Amazon

May 16, 2024

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Seattle, +7

Requirements

  • Basic Qualifications:
  • Enrolled in a Ph.D. or equivalent in computer science, machine learning, engineering, or related fields.
  • Experience in designing experiments and statistical analysis of results.
  • Experience in understanding and ability to implement algorithms using both toolkits and self-developed code.
  • Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or similar scripting language.
  • Preferred Qualifications:
  • Enrolled in a Ph.D. degree in computer science, machine learning, engineering, or related fields.
  • Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
  • Publication(s) at peer-reviewed conferences or journals.
  • Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.

Responsibilities

  • A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems
  • Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work

FAQs

What qualifications are required for the 2024 Fall Applied Science Internship?

Candidates must be PhD students with a focus on machine learning, natural language processing, computer vision, automated reasoning, or robotics.

What skills are essential for this internship?

Essential skills include the ability to effectively apply theoretical knowledge through experimentation and invention, proficiency in leveraging scientific techniques, and experience in implementing systems to work with large datasets.

What kind of projects can interns expect to work on?

Interns can expect to work on groundbreaking projects that address complex problems which have not been solved before, utilizing techniques from various scientific fields.

Is this internship open to students from any academic background?

No, the internship specifically targets PhD students who are specializing in areas related to machine learning, natural language processing, computer vision, automated reasoning, or robotics.

Where will the internship be located?

The internship will be based in the United States.

What is the duration of the internship?

The internship is for the Fall of 2024, although specific duration details may need to be confirmed with the employer.

Are there opportunities for hands-on experience during the internship?

Yes, the internship emphasizes practical application of theoretical knowledge through hands-on experimentation and system implementation.

Is prior industry experience necessary for this internship?

While prior industry experience may be beneficial, it is not explicitly required; the primary focus is on the candidate's academic background and research capabilities.

What challenges can interns expect to face while working on projects?

Interns may face challenges related to tackling massive datasets, solving complex problems, and applying advanced scientific techniques in innovative ways.

How can interested applicants apply for the internship?

Interested applicants should check the company’s careers page or specific internship postings for application instructions and deadlines.

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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