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Internship Computer Science Management Jobs in Santa Clara, 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

Lead and execute projects that require computer science and electrical engineering skills. Prepare technical proposals, develop business opportunities, and manage projects focused on computer science ...

Lead and execute projects that require computer science and electrical engineering skills. Prepare technical proposals, develop business opportunities, and manage projects focused on computer science ...

Managing Scientist

Menlo Park, CA · On-site

$172.50 - $220/hr

Lead and execute projects that require computer science and electrical engineering skills. Prepare technical proposals, develop business opportunities, and manage projects focused on computer science ...

Managing Scientist

Menlo Park, CA · On-site

$172K - $220K/yr

Lead and execute projects that require computer science and electrical engineering skills. Prepare technical proposals, develop business opportunities, and manage projects focused on computer science ...

Option 1: Bachelor's degree in computer science, management information systems, industrial engineering, engineering management, business, information systems, project/program management, information ...

New

Company Description Our team provides services to manage subscription based offers, integrating with financial, commerce and provisioning systems. We build the API layers for customer-facing user ...

Showing results 21-40

Internship Computer Science Management information

See Santa Clara, CA salary details

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How much do internship computer science management jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship computer science management in Santa Clara, CA is $20.48, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $22.60 per hour, depending on experience, location, and employer.

What is the difference between Internship Computer Science Management vs Internship Software Development?

AspectInternship Computer Science ManagementInternship Software Development
Required SkillsBasic management principles, communication, teamworkProgramming languages, coding, software tools
Work EnvironmentProject planning, team coordination, client interactionCode writing, debugging, software testing
Industry UsageTech companies, startups, IT departmentsSoftware firms, tech startups, app development companies

Internship Computer Science Management focuses on project coordination, team leadership, and communication skills within tech environments. In contrast, Internship Software Development emphasizes coding, software design, and technical problem-solving. Both internships are valuable for tech careers but target different skill sets and roles within the industry.

What are the most commonly searched types of Computer Science Management jobs in Santa Clara, CA?

The most popular types of Computer Science Management jobs in Santa Clara, CA are:

Applied Data Science Intern

Evolver

Palo Alto, CA

Full-time, Internship

Re-posted 2 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.