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Computer Science Internship Gaming Jobs in California

Faire

Data Science Intern

San Francisco, CA · On-site

$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 ...

Tencent

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

... in game development, publishing, and operation. Who We Look For * A master's degree or PHD in computer science, machine learning, or math/statistics, relevant internship experience is a plus * A ...

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Computer Science Internship Gaming information

What types of projects and technologies can I expect to work on during a Computer Science Internship in the gaming industry?

As a Computer Science intern in the gaming industry, you can expect to work on a range of projects such as game development, debugging, tool creation, or optimizing game engines. Interns often collaborate with experienced developers, artists, and designers, contributing to features like gameplay mechanics, AI systems, or user interfaces. You'll likely use languages and tools such as C++, C#, Unity, Unreal Engine, or proprietary engines, depending on the studio. This hands-on experience provides insight into the game development pipeline and is an excellent opportunity to build a professional portfolio while developing teamwork and problem-solving skills.

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

AspectComputer Science Internship GamingSoftware Development Internship
Required CredentialsComputer science fundamentals, programming skills, gaming industry knowledgeComputer science fundamentals, programming skills, software engineering basics
Work EnvironmentGaming companies, entertainment studios, tech startups focused on gamingTech firms, software companies, startups across various industries
Employer & Industry UsagePrimarily in gaming and entertainment sectorsAcross multiple sectors including finance, healthcare, tech
Common Search & Comparison IntentUnderstanding roles in gaming industry internshipsExploring software development internship opportunities

Computer Science Internship Gaming focuses on applying programming skills within the gaming industry, often involving game development, graphics, and interactive media. In contrast, Software Development Internship covers a broader range of software projects across various industries. Both roles require strong coding skills and a foundation in computer science, but their industry focus and work environments differ significantly.

What is a Computer Science Internship in Gaming?

A Computer Science Internship in Gaming is a temporary, hands-on position where students or recent graduates work with video game companies to gain real-world experience in game development. Interns typically assist with programming, debugging, testing, and sometimes designing games or game features. These internships provide valuable industry insights, help build technical skills, and can often lead to full-time job opportunities in the gaming industry.

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

To thrive as a Computer Science Intern in gaming, you need a solid grasp of programming languages (like C++ or Python), basic software development concepts, and coursework or projects related to game development. Familiarity with game engines such as Unity or Unreal, version control systems like Git, and possibly relevant coursework or certifications in computer science are commonly expected. Creative problem-solving, teamwork, and strong communication skills help interns contribute effectively and learn from experienced developers. These skills ensure you can adapt quickly, collaborate on complex projects, and make a meaningful impact in a fast-evolving industry.
What are popular job titles related to Computer Science Internship Gaming jobs in California? For Computer Science Internship Gaming jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Internship Gaming jobs in California look for? The top searched job categories for Computer Science Internship Gaming jobs in California are:
What cities in California are hiring for Computer Science Internship Gaming jobs? Cities in California with the most Computer Science Internship Gaming job openings:
Computer Science Internship Gaming jobs near you
Infographic showing various Computer Science Internship Gaming job openings in California as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.
Data Science Intern

Data Science Intern

Faire

San Francisco, CA • On-site

$75/hr

Other

Re-posted 24 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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