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Amazon Computer Science Internship Jobs in Manhattan, NY

AEG

2026 Internship, Fall - Data Science

Morristown, NJ · On-site

Purpose of this Internship During your time interning at the New York Red Bulls, you will learn how to apply your knowledge of data science, computer science, and mathematics to help multiple facets ...

Amazon

Software Dev Engineer, Creative X

New York, NY · On-site

BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ... degree in computer science or equivalent Amazon is an equal opportunity employer and does not ...

Amazon

Security Engineer , Ads Security

New York, NY · On-site

... internship) experience - Bachelor's degree in computer science or equivalent - Knowledge of ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

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Amazon Computer Science Internship information

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How much do amazon computer science internship jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for amazon computer science internship in Manhattan, NY is $28.05, according to ZipRecruiter salary data. Most workers in this role earn between $22.84 and $31.83 per hour, depending on experience, location, and employer.

What is an Amazon computer science internship?

An Amazon Computer Science Internship is a paid, hands-on opportunity for students studying computer science or related fields to gain real-world experience at Amazon. Interns work alongside experienced engineers on impactful projects, often involving software development, systems engineering, or data analysis. The program typically runs for 12-16 weeks during the summer and offers mentorship, networking, and potential pathways to full-time roles. Interns can expect to enhance their technical skills, contribute to innovative solutions, and learn about Amazon’s culture and technologies.

What types of projects do Amazon computer science interns typically work on, and how are they assigned?

Amazon Computer Science Interns are usually assigned to real-world projects that have a tangible impact on the company's products and services. These projects can range from developing scalable web services, improving machine learning models, to optimizing backend systems for performance. Interns are matched with teams based on their skill set, interests, and the needs of the business, ensuring a meaningful learning experience. Collaboration is key: interns work closely with experienced engineers, participate in code reviews, and often present their solutions to stakeholders. This hands-on environment helps interns build both technical and teamwork skills.

What are the key skills and qualifications needed to thrive as an Amazon computer science intern, and why are they important?

To thrive as an Amazon Computer Science Intern, you need a solid understanding of computer science fundamentals, programming languages like Java or Python, and currently be enrolled in a relevant degree program. Familiarity with version control systems (e.g., Git), cloud platforms such as AWS, and debugging or development tools is typically expected. Strong problem-solving, teamwork, and effective communication skills help interns collaborate and learn quickly in a fast-paced environment. These abilities enable interns to contribute meaningfully to projects, adapt to Amazon’s dynamic culture, and maximize their learning experience.

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Amazon Computer Science Internship jobs near you
Infographic showing various Amazon Computer Science Internship job openings in Manhattan, NY as of August 2026, with employment types broken down into 30% Internship, 37% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $58,345 per year, or $28.1 per hour.

2026 Internship, Fall - Data Science

Red Bull

Morristown, NJ

Internship

Re-posted 12 days ago

Red Bull rating

7.7

Company rating: 7.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

17th of 52 rated marketing agency

Job description

Company Description

Red Bull New York ("RBNY") are one of 30 teams in Major League Soccer (MLS) and one of the league's ten original charter clubs. Founded in 1996, RBNY has competed in MLS since its inception. RBNY's First Team plays its home matches at Sports Illustrated Stadium in Harrison, New Jersey and its Second Team plays its home matches at Montclair State University. RBNY are owned by the Austrian beverage company Red Bull GmbH, after which the team is named.

RBNY's First Team is a three-time MLS Supporters' Shield winner and a two-time Conference Champion, while the Second Team is the 2025 MLS NEXT Pro Champion. RBNY also operates one of the nation's premier youth soccer development programs, spanning local partnerships across New York and New Jersey. RBNY's Academy is ranked among the top development organizations in the country.

Purpose of this Internship

During your time interning at the New York Red Bulls, you will learn how to apply your knowledge of data science, computer science, and mathematics to help multiple facets of a professional soccer team. You will assist multiple departments - including scouting, match analysis, and player development while aiding various processes including data cleaning, databasing, and software building.

This is an unpaid, for credit internship (proof that you will receive credit is required).

Job Description

Communication skills in an elite sporting environment

Ability to foster a data-driven culture

How to create new Key Performance Indicators across a multitude of different departments

How to create algorithms and processes in an elite sporting environment

Qualifications

Proficient in R / SQL

Proficient in Microsoft Office Suite

Experience with Web Scraping

Excellent Communicator

In a Mathematics, Data Science, or Computer Science Program

Additional Information

Because of the cyclical nature of the entertainment industry, your assigned hours may vary to reflect our needs (includes nights and weekends).

Red Bull New York is an equal opportunity employer and we will not discriminate against any employee or applicant for employment because of age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality or any other classification protected by law.

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Hours and flexibility

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