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Freshman Computer Science Summer Internships Jobs in California

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 ...

Evolver

Applied Data Science Intern

Palo Alto, CA

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 ...

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Freshman Computer Science Summer Internships information

What is the difference between Freshman Computer Science Summer Internships vs Software Engineering Internships?

AspectFreshman Computer Science Summer InternshipsSoftware Engineering Internships
Required CredentialsTypically open to freshmen with basic programming knowledgeUsually require some college coursework or prior experience
Work EnvironmentEntry-level, learning-focused, often in tech companies or startupsMore advanced projects, collaborative teams, often in established tech firms
Employer & Industry UsageUsed by companies to introduce students to tech roles earlyTargeted at students with some experience, more competitive

Freshman Computer Science Summer Internships are designed for early college students with minimal experience, focusing on learning and skill development. In contrast, Software Engineering Internships typically require some prior coursework or experience and involve more complex projects. Both provide valuable industry exposure but differ in prerequisites and project scope.

What are Freshman Computer Science Summer Internships?

Freshman Computer Science Summer Internships are short-term work opportunities designed for first-year college students studying computer science or related fields. These internships typically take place during the summer and allow students to gain hands-on experience in real-world tech environments. Interns may work on coding projects, assist with software development, or support IT teams, all while building valuable skills and networking with professionals. These positions are often tailored to students with limited prior experience and focus on learning and professional growth.

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

To thrive as a Freshman Computer Science Summer Intern, you need a foundational understanding of programming concepts, problem-solving abilities, and coursework in computer science or related fields. Familiarity with languages like Python or Java, version control systems such as Git, and basic software development tools is often expected. Strong communication, eagerness to learn, and teamwork skills help interns adapt quickly and contribute effectively to projects. These skills and qualities are crucial for successfully integrating into professional environments, maximizing learning opportunities, and delivering meaningful contributions during the internship.

What types of projects or tasks can a freshman computer science summer intern expect to work on?

As a freshman computer science summer intern, you will likely work on entry-level programming tasks, bug fixes, or assist with software testing within a larger project. Many companies design internship projects that allow interns to contribute meaningfully while learning common tools and coding practices. You might also participate in team meetings, code reviews, or collaborate with other interns and full-time engineers. This hands-on experience is intended to help you build foundational skills, understand workplace dynamics, and gain exposure to real-world software development processes.
What are popular job titles related to Freshman Computer Science Summer Internships jobs in California? For Freshman Computer Science Summer Internships jobs in California, the most frequently searched job titles are:
What job categories do people searching Freshman Computer Science Summer Internships jobs in California look for? The top searched job categories for Freshman Computer Science Summer Internships jobs in California are:
What cities in California are hiring for Freshman Computer Science Summer Internships jobs? Cities in California with the most Freshman Computer Science Summer Internships job openings:
Freshman Computer Science Summer Internships jobs near you
Infographic showing various Freshman Computer Science Summer Internships job openings in California as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.
Applied Data Science Intern

Applied Data Science Intern

Evolver

Palo Alto, CA • On-site

Full-time, Internship

Posted 7 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