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Computer Science Internship Jobs in Berkeley, CA

Faire

Data Science Intern

San Francisco, CA

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform ... in Computer Science, Operations Research, Statistics, Econometrics, or a related technical ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

$31 - $49/hr

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Mathematics, Statistics, Computer Science, Physics or other STEM degrees) * Excited to learn new ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$31 - $49/hr

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Mathematics, Statistics, Computer Science, Physics or other STEM degrees) * Excited to learn new ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$31 - $49/hr

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Mathematics, Statistics, Computer Science, Physics or other STEM degrees) * Excited to learn new ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

$31 - $49/hr

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Mathematics, Statistics, Computer Science, Physics or other STEM degrees) * Excited to learn new ...

SightCall

INTERNSHIP - Web Developer

San Francisco, CA · On-site

SightCall Now Supports IOT And Wearables This internship supports the Marketing team with web ... Qualifications Current enrollment or Bachelor's Degree in Computer Sciences, Web or Graphic Design ...

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All JobsComputer Science Internship JobsComputer Science Internship Jobs in Berkeley, CA

Computer Science Internship information

See Berkeley, CA salary details

$10

$24

$54

How much do computer science internship jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for computer science internship in Berkeley, CA is $24.69, according to ZipRecruiter salary data. Most workers in this role earn between $13.43 and $28.46 per hour, depending on experience, location, and employer.

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 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 Are Internship Opportunities in Computer Science?

An internship in computer science provides on-the-job training for students who study computer science. Your duties in this program depend on the focus on the internship. Some interns get experiencing coding and developing software, applications, or website user interfaces. As an intern, you work under the direction of programming and development professionals. Your responsibilities include writing lines of code, testing and debugging software, learning computer languages in a realistic setting, and functioning as part of a team. Other computer science internships focus on providing technical support, cybersecurity services, or administration services as part of an IT team.

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.
More about Computer Science Internship jobs
What are the most commonly searched types of Computer Science jobs in Berkeley, CA? The most popular types of Computer Science jobs in Berkeley, CA are:
What are popular job titles related to Computer Science Internship jobs in Berkeley, CA? For Computer Science Internship jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Computer Science Internship jobs in Berkeley, CA look for? The top searched job categories for Computer Science Internship jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Computer Science Internship jobs? Cities near Berkeley, CA with the most Computer Science Internship job openings:
Computer Science Internship jobs near you
Infographic showing various Computer Science Internship job openings in Berkeley, CA as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 44% Full Time, 53% Part Time, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $51,359 per year, or $24.7 per hour.
Data Science Intern

Data Science Intern

Faire

San Francisco, CA

$75/hr

Other

Posted 6 days ago

Job description

Data Science Internship - Fall 2026

Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e-commerce platforms and big-box stores. Our Data Science team builds and maintains the algorithmic systems - spanning search, personalization, recommendation, and ranking - that power our marketplace and help our customers thrive.

We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data exploration to production-ready solutions.

Our internships are paid, 12-14 weeks in duration, with flexible start dates. Extensions are considered based on project scope and mutual interest.

Open Team

Search & Recommendation

  • Design and deploy state-of-the-art recommender systems that power ranking and discovery across the marketplace
  • Develop rich user and item representations through embeddings, sequence models, and graph-based methods
  • Build real-time and streaming data pipelines that enable dynamic, context-aware personalization at scale
  • Apply exploration-exploitation strategies - including contextual bandits and reinforcement learning - to optimize recommendations under uncertainty
  • Advance recommendation quality through improvements to diversification, novelty, and long-term user engagement
  • Own the full ML lifecycle: from problem formulation and modeling through offline evaluation and online experimentation

What You'll Do

  • Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions, with guidance from senior technical leads
  • Communicate project objectives, methodologies, and results clearly to both immediate teammates and broader cross-functional stakeholders
  • Navigate the complexity of a two-sided marketplace, identifying and addressing the unique challenges that arise at the intersection of retailer and brand needs

What We're Looking For

All candidates must be currently enrolled or recently graduated Master's or PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific experience:

Search & Recommendation Systems

  • Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR
  • Experience with recommender systems (collaborative filtering, deep recommenders, ranking), representation learning and embeddings, sequential models (RNNs, Transformers for user behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ranking systems
  • Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation
  • Experience working with large-scale or production datasets

Pay rate:

San Francisco: the pay rate for this role is $75 USD per hour.

Actual hourly pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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