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Internship Easiest Computer Science Jobs in California

Evolver

Applied Data Science Intern

Palo Alto, CA

Mentorship & Learning Interns will work closely with experienced staff and technical mentors with expertise in: * Computer Science * Data Science & Analytics * Applied AI & Machine Learning

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Mentorship & Learning Interns will work closely with experienced staff and technical mentors with expertise in: * Computer Science * Data Science & Analytics * Applied AI & Machine Learning

Stryker

$35/hr

... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ... the internship. * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

Stryker

$35/hr

... Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ... the internship. * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

New

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Internship Easiest Computer Science information

What are the easiest computer science internships to get?

The easiest computer science internships to get are typically those offered by smaller companies, startups, or local businesses rather than large tech firms. These positions often require basic programming skills and may focus on tasks like software testing, simple web development, data entry, or IT support. Networking through your university, participating in coding bootcamps, or applying for internships designed specifically for students with little experience can also increase your chances. While these roles may not be as prestigious, they provide valuable hands-on experience and can help build your resume for more competitive opportunities in the future.

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

To thrive as a Computer Science Intern, you generally need a foundational understanding of programming languages (such as Python, Java, or C++), problem-solving skills, and current enrollment in or recent graduation from a relevant degree program. Familiarity with version control systems like Git, basic software development tools, and sometimes exposure to databases or web technologies is often expected. Strong communication, eagerness to learn, and teamwork abilities help you stand out and adapt quickly in a collaborative environment. These skills and qualities are crucial for effectively contributing to projects, learning from mentors, and building a successful foundation in the tech industry.

What types of projects or assignments can I expect during an entry-level computer science internship?

During an entry-level computer science internship, you can expect to work on a variety of tasks such as debugging code, assisting with software testing, or contributing to small development projects under the guidance of experienced engineers. Interns often participate in code reviews, attend team meetings, and may help with documentation or support tickets. These assignments are designed to help you build practical skills and gain exposure to real-world development environments while working closely with mentors and collaborating with other interns or junior developers.

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

AspectInternship Easiest Computer ScienceSoftware Developer Intern
Required CredentialsBasic knowledge of programming, courseworkSome coding experience, possibly coursework or personal projects
Work EnvironmentEducational, entry-level, training-focusedProfessional tech companies, collaborative teams
Employer & Industry UsageUniversities, tech startups, entry-level programsTech firms, software companies, startups
Comparison Search IntentFinding easiest entry points in CS internshipsLooking for beginner software development internships

Internship Easiest Computer Science positions are typically designed for students with basic programming knowledge seeking entry-level experience. Software Developer Intern roles often require some coding skills and are offered by professional tech companies. While both are entry-level, the Computer Science internship is more educational and less specialized, whereas the Software Developer Intern role focuses on practical software development tasks.

What is the easiest job to get in computer science?

Entry-level internships in computer science, such as software development or IT support roles, are often the easiest to obtain for beginners. These positions typically require basic programming skills, familiarity with common tools, and a willingness to learn, making them accessible for students or those new to the field.

Which internship is best for a computer science student?

The best internship for a computer science student depends on their interests and career goals, but generally, internships at technology companies or research labs that offer hands-on experience with programming, software development, or data analysis are valuable. Look for roles that provide mentorship, exposure to real-world projects, and opportunities to develop skills in programming languages like Python, Java, or C++, as well as familiarity with tools such as Git and Linux. Competitive internships often require a strong academic record and relevant coursework or personal projects.

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

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

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

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

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

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

Internship Easiest Computer Science jobs near you
Infographic showing various Internship Easiest Computer Science job openings in California as of September 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 100% In-person job distribution.

Applied Data Science Intern

Palo Alto, CA

Evolver
IT Services • 501 - 1,000 employees
Learn more about Evolverexternal

Full-time, Internship

Re-posted 23 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