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Amazon

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  • 50,000 - 100,000 employees

Machine Learning Fall Internship

Multiple Locations in United States

Opportunity Expired

Curious about new possibilities? Explore them by working at Amazon!

Opportunity details

Opportunity Type
Internship, Clerkship or Placement
Salary
USD 65 - 106

Per Hour

Start Date
1 Oct 2023 - 30 Nov 2023

Application dates

Applications Open
12 May 2023
Applications Close
31-Jul-2023 (Prosple Estimated Close Date)

Minimum requirements

Accepting International Applications
No
Qualifications Accepted
I
Artificial Intelligence
Computer Science (all other)
Computer Systems and Networks
Programming & Software Engineering
Design & User Experience

Hiring criteria

Entry Pathway

See details

Working rights

United States

  • US Citizen
  • US Permanent Resident
  • US Temporary Work Visa
Read more

About Amazon

Amazon is built on the concept of a virtuous cycle focused on the customer. The idea was constructed on a napkin by CEO Jeff Bezos and is still a living, breathing part of Amazon. Amazon is an American multinational technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence. Amazon has earned a reputation as a disruptor of well-established industries through technological innovation and "aggressive" reinvestment of profits into capital expenditures.

Your Role

As an Applied Science Intern for Machine Learning, you will:

  • Own the design and development of end-to-end systems.
  • Have the opportunity to create technical roadmaps, and drive production-level projects that will support Amazon Science.
  • Work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. 

Training, Development & Rotations

Amazon designs and delivers learning programs to guide and support employees' career paths and implement improvements that make a real difference for both workers and customers. Amazon develops operations leadership and associates by helping them build stronger relationships with teammates and achieve better performance results. Learning Managers lead and develop teams of Trainers and Learning Specialists to coach team members and facilitate management skill development opportunities by creating effective partnerships with other learning teams to share best practices.

Salary & Benefits

The base pay for this position ranges from $119,232 to $137,862 per year. Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. The range of benefits may include health care, employee discounts, 401(k) savings plans, paid time off, and more. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Career Progression

Amazon believes that everyone should have the opportunity to learn new skills and build their career either at Amazon or elsewhere. That's why as part of its mission of being Earth's Best Employer, Amazon made a $1.2 billion commitment to investing in the upskilling of its Associates with free skills training, tuition support programs, a variety of certifications, and more. Amazon is ready to help build and develop Amazonians' credentials with ways to advance your career while still earning a paycheck. 

Work-Life Balance

Amazon is committed to a diverse and inclusive workplace wherein employees are satisfied with the work-life balance within the company. Amazon promotes a  well-proportioned work-life balance which is necessary to keep employees happy and productive. Amazon lets you choose your shifts, so you can decide how flexible you want your schedule to be.

Culture & Vibe

Amazon is a company of builders who bring varying backgrounds, ideas, and points of view to invent on behalf of customers. Amazon's diverse perspectives come from many sources including gender, race, age, national origin, sexual orientation, culture, education, and professional and life experience. The company is committed to diversity and inclusion and always looks for ways to scale impact in the world.

About You

  • Enrolled in a Ph.D. Degree 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 languages.
  • Comfort understanding and discussing architectural concepts and algorithms, scheduling tradeoffs, and new opportunities with technical team members.
  • Publication 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.

How to Apply

  • To start your application, simply click the “APPLY” button on this page.
  • For most positions, the hiring team begins the process with a phone interview.
  • If there's interest on both sides, the applicant will be invited for an on-site interview, typically with the hiring manager and several teammates. 
  • Finally, once you’ve passed each of the hiring steps, you’ll receive your offer package from Amazon.
  • Amazon's hiring process timeline takes about two weeks. However, it can vary depending on the position you're applying for and the number of interview candidates.

Source

The following sources were used in researching this page:

  • amazon.jobs/en-gb

Hiring criteria

You should have or be completing the following to apply for this opportunity.

Entry Pathway
Degree or Certificate
Minimum Level of Study
Doctorate (PhD) or higher
Study Field
I
Artificial Intelligence
Computer Science (all other)
Computer Systems and Networks
Design & User Experience
Programming & Software Engineering

Work rights

The opportunity is available to applicants in any of the following categories.

country
eligibility

United States

United States

US Citizen

US Permanent Resident

US Temporary Work Visa