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Internship Computer Science Startup information

What does an internship at a computer science startup involve?

An internship at a computer science startup typically involves working on real-world projects, collaborating with experienced engineers, and contributing to software development tasks. Interns may help with coding, debugging, testing, or developing new features, and are often exposed to various aspects of the business, such as product design and customer feedback. Startups usually offer a fast-paced, hands-on learning environment where interns can gain valuable technical and professional skills while making a meaningful impact.

What are the key skills and qualifications needed to thrive as an intern at a computer science startup?

To thrive as an intern at a computer science startup, you need a solid understanding of programming fundamentals, problem-solving skills, and ideally, coursework or experience in areas like algorithms, data structures, or web development. Familiarity with version control systems (like Git), cloud platforms, and common programming languages such as Python or JavaScript is often required. Initiative, adaptability, and strong communication are crucial soft skills for collaborating in a fast-paced, innovative environment. These skills and qualities enable interns to contribute effectively, learn quickly, and grow within the dynamic culture of a startup.

What types of projects or tasks do computer science interns typically work on at startups?

Computer science interns at startups often work on a variety of hands-on projects, such as building new features, fixing bugs, or prototyping innovative ideas. Because startups tend to have smaller teams, interns may have the opportunity to contribute code directly to the product and collaborate closely with engineers, designers, and sometimes even founders. This environment fosters rapid learning and exposure to the full software development lifecycle. Interns may also participate in code reviews, daily standups, and brainstorming sessions, making their work both impactful and dynamic.

What is the difference between Internship Computer Science Startup vs Software Developer Intern?

AspectInternship Computer Science StartupSoftware Developer Intern
Required CredentialsEnrolled in CS or related degree, basic coding skillsEnrolled in CS or related degree, coding skills
Work EnvironmentFast-paced startup setting, collaborative teamsCorporate or startup, team-based projects
Employer & IndustryStartup companies in tech, innovation sectorsTech companies, software firms, startups
Search & Comparison IntentUnderstanding internship roles in startupsComparing internship roles in software development

Internship Computer Science Startup positions typically involve working in dynamic startup environments, focusing on innovative projects with a broad range of responsibilities. Software Developer Intern roles are more structured, often within established companies, emphasizing specific coding tasks. Both require similar educational backgrounds and skills, but the startup internship offers a more versatile experience in a fast-growing setting.

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What cities near Chicago, IL are hiring for Internship Computer Science Startup jobs?

Cities near Chicago, IL with the most Internship Computer Science Startup job openings:

Internship Computer Science Startup jobs near you
Infographic showing various Internship Computer Science Startup job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution.

Quantitative Trading Internship - 2027

Dime Line Trading

Chicago, IL

Internship

Re-posted 4 days ago

Job description

 
The internship at Dime Line is a 10-week opportunity with our team of quants, data scientists and traders, available all seasons of the year.

Dime Line Trading develops algorithms to trade all major US sports. Dime Line was founded in 2020 by veterans of the financial trading and sports betting industries, who started their careers in the sports gambling space before entering the financial industry, where they individually built successful trading teams at leading firms.

WHAT YOU'LL DO:
You will have the opportunity to work with our team while receiving feedback and mentorship from our tight-knit, collaborative employees in various roles. This is an opportunity to get your feet wet within the trading industry while utilizing algorithmic, statistical, and engineering concepts applied toward the sports betting industry. There are a number of different types of opportunities within Dime Line spanning quantitative research, algorithmic trading models, live trading, and data science. Interns will have the opportunity to work within multiple fields across multiple sports. We retain a startup culture, which means that interns will be working on production projects alongside the rest of the team.

SKILLS YOU'LL NEED:
Ability to work in a fast-paced environment and handle multiple demands at once
Interest in building solutions, solving problems, and understanding how things work
Interest in sports, sports analytics / sabermetrics - please let us know about your interest or work in sports analytics!

Hands-on experience and a high level of proficiency in one or more of the following:
- Statistical modeling, especially predictive modeling in Python/R
- Python development on Linux platform
- Building algorithmic trading models in financial markets, prediction markets or similar
- Quantitative sports gambling or daily fantasy sports

It's great to see:
- Past internship or job experience in a trading, quantitative or engineering role
- Advanced coursework in statistics, optimization, operations research, and computer science

Apply