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Library Science Internship Jobs in California (NOW HIRING)

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

Data Science Internship - Multiple Teams Faire leverages machine learning and data insights to ... learning libraries * Experience with Python; familiarity with Java, Kotlin, or C++ is a plus

Hartnell Community College

Librarian, Part-Time

Salinas, CA · On-site

$70.55 - $83.86/hr

... access to internships, summer bridge activities, and career exploration opportunities, if ... Supplemental Information MINIMUM QUALIFICATIONS Master's degree in library science, or library and ...

Hartnell College

Librarian, Part-Time

Salinas, CA · On-site

$60.19 - $71.29/hr

... internships, summer bridge activities, and career exploration opportunities, if applicable ... Master's degree in library science, or library and information science OR * the equivalent. The ...

Nextnav

AI/ML Internship

Santa Clara, CA

An enrolled PhD student with Computer Science,Electronics & Communications,Data Science, AI/ML, or ... Proficiency in Python, including experience with machine-learning libraries such as scikit-learn ...

Nextnav

AI/ML Internship

Santa Clara, CA · On-site

An enrolled PhD student with Computer Science,Electronics & Communications,Data Science, AI/ML, or ... Proficiency in Python, including experience with machine-learning libraries such as scikit-learn ...

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All JobsLibrary Science Internship JobsLibrary Science Internship Jobs in California

Library Science Internship information

See California salary details

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How much do library science internship jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for library science internship in California is $15.34, according to ZipRecruiter salary data. Most workers in this role earn between $12.36 and $17.31 per hour, depending on experience, location, and employer.

What is the difference between Library Science Internship vs Library Technician?

AspectLibrary Science InternshipLibrary Technician
Required CredentialsTypically pursuing or recent graduate in Library Science or related fieldPost-secondary education or certification in library technology
Work EnvironmentAcademic, public, or special libraries; often temporary or part-timePublic, academic, or special libraries; full-time or part-time roles
Employer & Industry UsageInternship programs for students or recent grads to gain experienceFull-time or part-time staff supporting library operations
Search & Comparison IntentLearning about entry-level or training roles in librariesUnderstanding career pathways or job requirements in libraries

In summary, a Library Science Internship is a temporary, educational position aimed at students or recent graduates to gain practical experience. A Library Technician is a more permanent role requiring specific certifications or education, supporting daily library functions. Both roles are integral to library operations but differ mainly in experience level and employment status.

What is a Library Science Internship?

A Library Science Internship is a temporary, supervised work experience in a library or related information setting, designed for students or recent graduates studying library and information science. Interns gain practical skills in areas such as cataloging, reference services, archival work, and digital resource management. These internships help bridge the gap between academic studies and professional practice, providing valuable hands-on experience and networking opportunities. Many library science programs require or strongly encourage internships as part of their curriculum.

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

To thrive as a Library Science Intern, you need foundational knowledge in library systems, information organization, and research methods, typically gained through coursework in library science or a related field. Familiarity with integrated library systems (ILS), cataloging tools, and digital resource management platforms is often required. Strong attention to detail, communication, and a customer-service mindset are essential soft skills for this role. These capabilities ensure effective support for library operations, quality service for patrons, and efficient management of library resources.

What types of projects or responsibilities can interns expect during a Library Science Internship?

Library Science interns typically engage in a variety of hands-on projects that provide insight into both public-facing and behind-the-scenes aspects of library operations. Common responsibilities include assisting with cataloging and organizing library materials, supporting reference and research services, helping to plan and implement community programs, and working with digital resources and databases. Interns often collaborate with librarians, IT staff, and patrons, offering opportunities to develop professional skills and gain exposure to different library specializations. These diverse tasks help interns build a broad foundation for potential future roles in the library field.
What are popular job titles related to Library Science Internship jobs in California? For Library Science Internship jobs in California, the most frequently searched job titles are:
What job categories do people searching Library Science Internship jobs in California look for? The top searched job categories for Library Science Internship jobs in California are:
What cities in California are hiring for Library Science Internship jobs? Cities in California with the most Library Science Internship job openings:
Library Science Internship jobs near you
Data Science Intern

Data Science Intern

Faire

San Francisco, CA • On-site

$75/hr

Other

Posted 24 days ago

Job description

Data Science Internship - Multiple Teams

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 Teams

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

Risk Management

  • Build and refine models and heuristics across core risk domains - including underwriting, identity verification, returns, markdowns, and disputes & misuse - to reduce financial losses and unlock GMV growth
  • Partner cross-functionally to develop scalable, data-driven frameworks that balance risk exposure with business opportunity

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

Risk Management

  • Solid ML fundamentals with hands-on experience productionizing models using frameworks such as scikit-learn, XGBoost, or deep learning libraries
  • Experience with Python; familiarity with Java, Kotlin, or C++ is a plus
  • Knowledge of statistical techniques including experimentation and causal inference
  • Experience with SQL or other database querying languages preferred

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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