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Computer Scientist Intern Jobs in California (NOW HIRING)

Brilent

Data Scientist Intern

San Mateo, CA

As a data scientist intern, you will work alongside our small team of data scientists and engineers ... Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative ...

GenBio AI

Research Scientist Intern

Palo Alto, CA · On-site

$8.0K - $10K/mo

D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial ... Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research). * Hands-on ...

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How much do computer scientist intern jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for computer scientist intern in California is $32.31, according to ZipRecruiter salary data. Most workers in this role earn between $19.30 and $47.08 per hour, depending on experience, location, and employer.

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

As a Computer Scientist Intern, you can expect to work on a variety of projects ranging from software development and algorithm optimization to data analysis and research-based tasks. While you will receive guidance from senior team members and mentors, interns are often encouraged to take ownership of specific project components and contribute original ideas. The level of autonomy varies by company, but most programs emphasize collaborative problem-solving, regular check-ins, and opportunities to present your work. This structure allows interns to develop technical skills, gain practical experience, and build professional relationships within multidisciplinary teams.

What does a Computer Scientist Intern do?

A Computer Scientist Intern typically supports software development, research, or data analysis projects within a technology or research-focused organization. Their tasks may include coding, testing software, analyzing datasets, and collaborating with experienced computer scientists to solve technical problems. Interns gain practical experience, learn new programming languages or tools, and contribute to real-world projects. This role helps bridge academic learning with hands-on industry experience, preparing interns for full-time roles in computer science.

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

To thrive as a Computer Scientist Intern, you need a solid understanding of programming fundamentals, algorithms, and data structures, often demonstrated through coursework in computer science or a related field. Familiarity with languages like Python, Java, or C++, and experience using version control systems such as Git, are typically expected. Strong problem-solving abilities, teamwork, and a willingness to learn make candidates stand out in this role. These skills ensure interns can contribute effectively to projects, adapt to new technologies, and work collaboratively within technical teams.
What cities in California are hiring for Computer Scientist Intern jobs? Cities in California with the most Computer Scientist Intern job openings:
Computer Scientist Intern jobs near you
Data Scientist Intern

Data Scientist Intern

Brilent

San Mateo, CA

Full-time, Internship

Posted yesterday

Job description

Company Description
Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft.
Job Description
As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers.
Responsibilities
  • Perform large-scale data analysis, find interesting patterns and translate them into product improvements
  • Experiment with different machine learning algorithms and statistical techniques and develop new product initiatives
  • Develop data infrastructure and improve data collection and processing tools and techniques

Qualifications
  • Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative discipline. Advanced degree preferred
  • Proficient in SQL and able to write complex SQL queries
  • Experience with scripting languages such as Java and Python
  • Excellent problem-solving and analytical skills
  • Curious and creative about data, and comfort with ambiguity

Additional Information
We offer competitive salaries, meals, snacks, etc.

Apply