1

Computer Science Summer Internship Sophomore Jobs in California

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 ...

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 ...

J.S. Held is a global consulting firm providing technical, scientific, and financial expertise ... The Summer Intern Role We are seeking a summer intern to work in our San Francisco or Chicago ...

Summer Internship

San Fernando, CA · On-site

$22 - $25/hr

Landscape Architecture, Civil Engineering, Construction Science, Construction Management ... computer software programs including MS Office suite (Word, Excel and Outlook) Here's what to know ...

Summer Internship

San Fernando, CA · On-site

$22 - $25/hr

Landscape Architecture, Civil Engineering, Construction Science, Construction Management ... computer software programs including MS Office suite (Word, Excel and Outlook) Here's what to know ...

Mountain View, CA Summer 2026 Internship $120K - $150K annualized Join Corvic's AI team for a ... Pursuing Bachelor's or Master's degree in Computer Science, Machine Learning, or related field

next page

Showing results 1-20

Computer Science Summer Internship Sophomore information

See California salary details

$9

$17

$25

How much do computer science summer internship sophomore jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for computer science summer internship sophomore in California is $17.21, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 per hour, depending on experience, location, and employer.

What is a computer science summer internship sophomore?

A Computer Science Summer Internship for sophomores is a temporary position designed for second-year college students pursuing a degree in computer science or a related field. Interns typically work on software development, data analysis, or other technical projects while gaining hands-on experience in the industry. These internships provide mentorship, skill development, and networking opportunities to help students prepare for future full-time roles.

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

As a sophomore computer science intern, you may assist with coding features, debugging existing applications, writing unit tests, or performing data analysis alongside experienced engineers. Many programs also include opportunities to participate in team meetings, contribute to group projects, and review or present your work for feedback. Depending on the organization, you might work on web development, mobile apps, database design, or automation scripts under mentor supervision. These experiences help you strengthen your technical skills, gain exposure to real industry practices, and build a professional network for future opportunities.

What are the key skills and qualifications needed to thrive in a computer science summer internship sophomore position?

To succeed as a Computer Science Summer Internship Sophomore, you should have foundational knowledge of programming languages (such as Python, Java, or C++), data structures, and algorithms, typically gained through academic coursework. Familiarity with version control systems like Git, basic software development environments, and possibly relevant certifications in coding or technical skills is helpful. Strong problem-solving, communication, and teamwork abilities set candidates apart in a collaborative tech environment. These skills are essential for effectively contributing to real-world projects, learning from experienced mentors, and making a meaningful impact during the internship.

What are popular job titles related to Computer Science Summer Internship Sophomore jobs in California?

For Computer Science Summer Internship Sophomore jobs in California, the most frequently searched job titles are:

What job categories do people searching Computer Science Summer Internship Sophomore jobs in California look for?

The top searched job categories for Computer Science Summer Internship Sophomore jobs in California are:

What cities in California are hiring for Computer Science Summer Internship Sophomore jobs?

Cities in California with the most Computer Science Summer Internship Sophomore job openings:

Infographic showing various Computer Science Summer Internship Sophomore job openings in California as of August 2026, with employment types broken down into 28% Internship, 39% Full Time, 28% Part Time, and 5% Temporary. Highlights an 100% In-person job distribution, with an average salary of $35,790 per year, or $17.2 per hour.

Applied Data Science Intern

Evolver

Palo Alto, CA • On-site

Full-time, Internship

Re-posted 8 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.