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Internship Library Science Masters Jobs in California

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 ...

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 ...

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 ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... sciences space? As an Automation Engineering Intern at Cytiva (a Danaher company), you would help ...

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Internship Library Science Masters information

Is AI replacing librarians?

AI is not replacing librarians, but it is transforming their roles by automating routine tasks such as cataloging and data management. Librarians with skills in digital tools, information organization, and AI literacy can leverage technology to enhance user services and improve access to information.

Is getting a Master's degree in library science worth it?

A Master's degree in library science is often required for professional librarian roles and can lead to higher salaries and advanced positions. It provides specialized knowledge, skills in information management, and often includes training in cataloging, digital resources, and user services, making it valuable for career advancement in the field.

What can I do with a Master's degree in library science?

A Master's degree in library science prepares individuals for roles such as librarian, archivist, information specialist, or digital resource manager. These positions involve managing collections, providing research assistance, and utilizing library management systems and digital tools in various settings like public, academic, or special libraries.

How much money can you make with a Master's in library science?

A person with a Master's in library science can typically earn between $45,000 and $70,000 annually, depending on the location, type of library or organization, and level of experience. Entry-level positions may start lower, while experienced librarians or those in specialized roles can earn higher salaries, especially with additional certifications or skills in digital resources and information management.

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

AspectInternship Library Science MastersLibrary Technician
Required CredentialsGraduate degree (Master's in Library Science)Associate's degree or post-secondary certificate
Work EnvironmentAcademic, research, or specialized libraries; internships often part of educationPublic, school, or community libraries; entry-level roles
Employer & Industry UsageAcademic institutions, research centers, librariesPublic libraries, schools, government agencies
Common Search & Comparison IntentUnderstanding educational requirements and career pathwaysEntry-level job roles and responsibilities

Internship Library Science Masters typically involves gaining practical experience during or after completing a Master's degree in Library Science, preparing for advanced roles. Library Technicians are entry-level staff supporting library operations with less formal education. The main difference lies in education level, job responsibilities, and career progression opportunities.

What are the most commonly searched types of Library Science Masters jobs in California? The most popular types of Library Science Masters jobs in California are:
What cities in California are hiring for Internship Library Science Masters jobs? Cities in California with the most Internship Library Science Masters job openings:
Infographic showing various Internship Library Science Masters job openings in California as of June 2026, with employment types broken down into 7% Internship, 2% As Needed, 58% Full Time, 32% Part Time, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.
Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

Eluvio

Berkeley, CA โ€ข On-site

Temporary, Internship

Posted 8 days ago


Job description

If you are an outstanding upper undergrad, recent grad or grad student and are looking for an amazing last-minute Summer Internship - this is the opportunity for you! Eluvio AI is growing fast and we have a new internship position available in our Berkeley HQ!

Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through our state-of-the-art real-time content routing and just-in-time code execution. We are headquartered in Berkeley, CA.

Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions.

Responsibilities

  • Work with the Eluvio AI Machine Learning and Data Science Team
  • Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content
  • Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location
  • Develop multi-functional learning pipelines
  • Collaborate with product and engineering teams to implement models at scale
  • Help train and develop multimodal learning models using advanced learning techniques including RAG, self-supervised learning, semi-supervised, and transductive learning.

Requirements

Desired Qualifications

  • MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate
  • Deep classroom experience in data science or machine learning or prior internship
  • Comfortable with Python or R
  • Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn)
  • Knowledge of computer vision and natural language processing
  • Strong working experience with large multi-modal and language models preferred
  • Great communication skills, organized, able to multitask and be a team player
  • Ability to balance attention to detail with agile execution

Benefits

Paid summer internship with one of the top Video AI tech companies in the world!

Catered Lunches (really good food)

Great atmosphere, nice colleagues

Summer Party!