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Computer Science Summer Jobs (NOW HIRING)

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Computer Science * Data Science & Analytics * Applied AI & Machine Learning * Enterprise ...

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

Learn and apply computer science principles to solve complex problems. * 10 hours/week during the school year, 40 hours/week in the summer, >51% of the time will be in office Qualifications:

William Paterson University

William Paterson also boasts a four-day summer work week from mid-May to mid-August (Fridays off ... The Department of Computer Science provides the opportunity for students to attain BS degrees in ...

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How much do computer science summer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for computer science summer in the United States is $49,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,000.00 and $57,500.00 per year, depending on experience, location, and employer.

What Are Summer Jobs in Computer Science?

Summer computer science jobs are for students, teachers, or academics who want to work in computer-related positions or undertake internships that provide experience in fields such as IT or software development. In these short term jobs, your duties depend on the needs of your employer. A computer science instructor can work with students of various ages to teach computer skills during summer school or a computer camp. As an intern, you might work on programming, computer engineering, or database administration tasks as part of an internship program. Academic professionals can work on research projects that have a programming component during the summertime.

What kinds of projects or tasks can I expect to work on during a Computer Science Summer internship?

During a Computer Science Summer internship, you can expect to work on a variety of hands-on projects ranging from software development and debugging to data analysis and algorithm design. Interns often collaborate with experienced engineers, participate in code reviews, and may contribute to ongoing company initiatives or build prototypes for new features. The work environment is typically team-oriented, providing opportunities to learn from peers and mentors while gaining practical experience with real-world systems and tools. This exposure helps interns develop technical skills and gain insight into potential career paths within computer science.

What are Computer Science Summer programs?

Computer Science Summer programs are short-term educational opportunities, usually held during the summer months, that allow students to explore computer science through hands-on projects, coursework, and workshops. These programs are often designed for high school or college students who want to gain practical experience in areas like programming, robotics, artificial intelligence, or cybersecurity. Participants may collaborate on group projects, attend lectures from industry professionals, and build a foundation for future studies or careers in technology. Programs can be found at universities, online, or through specialized organizations, and they often provide networking opportunities and exposure to the latest industry trends.

What are the key skills and qualifications needed to thrive as a Computer Science Summer Intern, and why are they important?

To thrive as a Computer Science Summer Intern, you typically need foundational knowledge in programming, data structures, and algorithms, often gained through coursework or a related degree program. Familiarity with languages like Python or Java, version control systems such as Git, and exposure to software development tools is common. Strong problem-solving skills, willingness to learn, and effective teamwork set outstanding interns apart. These abilities enable interns to contribute meaningfully to projects, adapt quickly, and integrate well with professional teams during their short tenure.
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What cities are hiring for Computer Science Summer jobs? Cities with the most Computer Science Summer job openings:
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What states have the most Computer Science Summer jobs? States with the most job openings for Computer Science Summer jobs include:
Computer Science Summer jobs near you
Infographic showing various Computer Science Summer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $49,612 per year, or $23.9 per hour.
Applied Data Science Intern

Applied Data Science Intern

Evolver

Palo Alto, CA • On-site

Other

Posted 21 days ago

Job description

Applied Data Science Summer Internship 

About Us:

Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In just 1.5 years, the company has grown from 0 to nearly 100 employees, bringing together an exceptional team of technologists, researchers, and industry experts. Founders includes former executives from some of the world's top organizations, including the former Global CTO and Global Board Member of Ernst and Young and the former VP of AI from Microsoft, alongside senior leaders from other major global enterprises. The team includes multiple PhDs and a strong concentration of employees with advanced degrees from leading universities. This in-person internship offers a small cohort of students the opportunity to work directly alongside experienced operators and AI experts while gaining hands-on exposure to using the latest innovations in data science applications at a frontier startup environment.

Program Details:

Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science techniques to enterprise datasets while learning to leverage and deploy AI systems for real-world Fortune 500 business use cases.

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and enterprise software deployment.

  • Duration: 10 weeks (full-time), June through Early August.
  • Competitive Compensation: Tailored to your experience and skill set.
  • Format: Hybrid (4+ days in person) - Based in Palo Alto, CA off University Ave
  • Cohort Size: Small and mentorship-focused
  • Learning Goals: Develop and apply AI-driven data science solutions on real-world datasets and workflows supporting Fortune 500 enterprise use cases.

Role Details:

Interns will contribute to real data innovation projects involving:

  • Data analysis and machine learning pipelines
  • AI agents, retrieval systems, and evaluation frameworks
  • Enterprise AI integration and deployment tooling
  • Product prototyping and applied research
  • Automation systems for large-scale organizational use
  • Real world enterprise use cases of graph theory
  • Gain direct exposure to Fortune 500 clients
  • Access enterprise-scale AI and data science initiatives through hands-on collaboration with internal teams and customer engagements.

Projects are oriented toward practical AI solutions deployed in enterprise and Fortune 500 environments.

Mentorship & Learning

Interns will work closely with experienced staff and technical mentors with expertise in:

  • Computer Science
  • Data Science & Analytics
  • Applied AI & Machine Learning
  • Enterprise Infrastructure
  • Scalable AI Deployment
  • Risk and Compliance Frameworks
  • Tax and Audit

The program is structured as a high-engagement cohort-based apprenticeship experience emphasizing:

  • Daily in person technical collaboration
  • Rapid learning and iteration
  • Exposure to real deployment challenges
  • Cross-disciplinary problem solving
  • Professional development in AI engineering and enterprise systems

Who Should Apply:

We welcome applications from:

  • Graduate students with a record of excellence
  • Exceptional advanced undergraduates

All candidates are required to be recommended by an accredited professor leading a relevant program at a top university. Will be verified during application process.

Strong candidates typically demonstrate:

  • Programming experience
  • Curiosity about AI systems and emerging technologies
  • Initiative, creativity, and strong problem-solving ability
  • Prior technical, research, or project experience

You do not need deep expertise in every area, we value intellectual curiosity, adaptability, and motivation to build.

Apply