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Computer Science Internship Jobs in Milpitas, CA

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

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

HireEZ

Software Engineer Intern

Mountain View, CA · On-site

... computer science principles to real-world challenges. You will be working directly on enhancing and optimizing our AI-driven hiring platform . What You'll Gain While this internship is unpaid , we ...

Kodiak

Fall 2026 Intern, Data Science

Mountain View, CA · On-site

Qualifications: * BS, MS or PhD in Computer Science, Statistics, Operations Research or related ... Internship experience using machine learning or statistical analysis to build data-driven product ...

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Computer Science Internship information

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

To thrive as a Computer Science Intern, you generally need foundational knowledge in programming, algorithms, and data structures, often supported by progress toward a computer science degree. Familiarity with coding languages such as Python, Java, or C++, as well as experience using version control systems like Git, is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative environments. These skills and qualities are essential because they enable interns to contribute meaningfully to projects, adapt to new technologies, and work efficiently within a development team.

What types of projects do Computer Science interns typically work on, and how much autonomy can I expect?

Computer Science interns often contribute to real-world projects such as developing new software features, debugging code, automating processes, or supporting infrastructure. While the level of autonomy varies by company, interns are generally given meaningful tasks and encouraged to collaborate with senior engineers and cross-functional teams. You'll likely participate in code reviews, agile sprints, and team meetings, gaining hands-on experience and feedback. Many organizations assign mentors to guide interns, helping them balance independence with structured learning and support.

What is a computer science internship?

A computer science internship is a temporary position that allows students or recent graduates to gain practical experience in the field of computer science. Interns typically work on real-world projects, assisting with programming, software development, data analysis, or IT support under the supervision of experienced professionals. These internships provide valuable hands-on skills, networking opportunities, and insight into potential career paths within technology industries.

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

AspectComputer Science InternshipSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in CS or related fieldSame as CS internship, often students or recent grads
Work EnvironmentVaries across tech companies, research labs, startupsPrimarily software development teams in tech firms
Employer & Industry UsageUsed across academia, industry, research projectsPrimarily in software development companies and tech industry
Common Search & Comparison IntentUnderstanding internship opportunities in CSComparing software development internship roles

Both Computer Science Internships and Software Developer Internships target students or recent graduates interested in tech. While CS internships may include research, data analysis, or broader technical roles, Software Developer Internships focus specifically on coding and software creation. The choice depends on your career goals and the specific skills you want to develop.

What are the most commonly searched types of Computer Science jobs in Milpitas, CA? The most popular types of Computer Science jobs in Milpitas, CA are:
What are popular job titles related to Computer Science Internship jobs in Milpitas, CA? For Computer Science Internship jobs in Milpitas, CA, the most frequently searched job titles are:
What cities near Milpitas, CA are hiring for Computer Science Internship jobs? Cities near Milpitas, CA with the most Computer Science Internship job openings:
Computer Science Internship jobs near you
Applied Data Science Intern

Applied Data Science Intern

Evolver

Palo Alto, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

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