ZipRecruiter

Log In

1

Metadata Library Jobs in Santa Clara, CA (NOW HIRING)

Veeam Software

Director, Connectors

San Jose, CA · On-site

$296K/yr

Connect to the graph platform by ensuring connectors extract and normalize metadata, permissions ... Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O'Reilly ...

previous page

Showing results 41-60

All JobsMetadata Library JobsMetadata Library Jobs in Santa Clara, CA

Metadata Library information

See Santa Clara, CA salary details

$10

$21

$32

How much do metadata library jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for metadata library in Santa Clara, CA is $21.94, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $24.86 per hour, depending on experience, location, and employer.

What is a metadata librarian?

Metadata librarians are information professionals who manage and organize metadata, which is data that describes other data, for library collections. They create, edit, and maintain metadata records to ensure resources are discoverable, accessible, and properly described in library catalogs and digital repositories. Their work supports searchability, digital preservation, and resource sharing by applying standards and best practices for cataloging. Metadata librarians often collaborate with IT staff, archivists, and subject specialists to enhance user access to library materials.

What skills and qualifications are needed to thrive as a metadata librarian?

To thrive as a Metadata Librarian, you need expertise in cataloging standards (such as MARC, Dublin Core), metadata schema, and information organization, usually supported by a Master's in Library Science or a related field. Familiarity with integrated library systems (ILS), metadata management tools, and knowledge of cataloging software like OCLC Connexion is typical. Attention to detail, analytical thinking, and strong communication skills help ensure accuracy and facilitate collaboration with library staff. These skills and qualities are crucial to maintaining accessible, well-organized digital and print collections that support user discovery and research.

What are common challenges faced by professionals working in a metadata library role, and how can they be addressed?

Professionals in a metadata library role often encounter challenges such as maintaining consistency and accuracy in metadata standards across diverse collections, keeping up with evolving cataloging guidelines, and integrating new technologies or platforms. Addressing these challenges typically involves ongoing training, collaboration with colleagues to develop clear metadata policies, and staying informed about industry best practices. Regular communication with IT teams and subject specialists is also key to ensuring that metadata effectively supports discoverability and access for library users.

What is the difference between Metadata Library vs Metadata Specialist?

AspectMetadata LibraryMetadata Specialist
CredentialsTypically requires a degree in library science, information management, or related fieldsRequires similar credentials, often with additional certifications in data management or information systems
Work EnvironmentLibraries, archives, or information centers managing large metadata collectionsData-driven organizations, digital repositories, or information management teams
Employer & IndustryLibraries, museums, archives, academic institutionsTech companies, publishing, digital content providers
Search & Comparison IntentUnderstanding library metadata management rolesSpecialized data and metadata management tasks

The main difference is that a Metadata Library focuses on managing metadata within library and archival settings, while a Metadata Specialist handles metadata in broader digital and data environments. Both roles require similar credentials but serve different industry needs.

What are popular job titles related to Metadata Library jobs in Santa Clara, CA?

For Metadata Library jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Metadata Library jobs in Santa Clara, CA look for?

The top searched job categories for Metadata Library jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Metadata Library jobs?

Cities near Santa Clara, CA with the most Metadata Library job openings:

Metadata Library jobs near you
Infographic showing various Metadata Library job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $45,637 per year, or $21.9 per hour.

Research Scientist 5 - Content Representation Models (CRM)

Netflix

Los Gatos, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted yesterday

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

72nd of 78 rated media

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
About the Team
The Content Representation Models team creates a single, unified "language" for Netflix's entire library by developing foundation models that understand everything from video and audio to text and artwork at a semantic level. By treating these powerful embeddings as a core product, we give Netflix the ability to match the right content to the right member, supercharging personalization and helping everyone discover something they'll love.
The team's current areas of focus include:
  • Unified Content Embedding: Merging media-based and metadata-based embedding approaches into a single cohesive model, creating rich semantic representations of all content across video, audio, and text modalities
  • Multimodal and Multi-Granularity Embeddings: Creating embeddings from various content types at different levels of detail, from entire shows down to individual shots and clips
  • Semantic IDs: Developing unique, meaningful identifiers for content that enable more sophisticated retrieval and recommendation
  • Profile and Content Embedding Alignment: Aligning member profile embeddings with content embeddings in the same space to enhance personalization

About the Role
We are looking for a Research Scientist specializing in embeddings and representation learning to investigate how we can enhance content understanding capability in Netflix's foundation models.
How foundation models understand content is one of the most important open research questions for Netflix personalization. Today, our models rely on a mix of metadata, behavioral signals, and media-based representations. The opportunity ahead is to significantly deepen that understanding through approaches like Semantic IDs, continuous pre-training, novel representation learning methods, or other state-of-the-art techniques.
The person in this role will help shape that research direction and bring new ideas to the table. This is an area where the optimal strategy is still being defined, which means there is real room to influence the approach and make a lasting impact on how Netflix's foundation models reason about content.
What makes this role unique:
  • Open research problem with real product impact. Enhancing how foundation models understand content is a crucial and unsolved challenge. Your work will directly improve how 300M+ members discover content.
  • Research that ships. This isn't a pure research lab. Your work will feed into foundation models that power personalization across every Netflix surface. The loop between research and member impact is tight.
  • Bring your own approach. We have hypotheses (Semantic IDs, continuous pre-training, etc.) but we're looking for someone who brings their own perspective and methods to the problem.
  • World-class collaborators. You will work alongside researchers and engineers across content understanding, foundation models, and application teams who are pushing the state of the art in personalization at scale.

Responsibilities
  • Drive applied research on enhancing content understanding capability in Netflix's foundation models
  • Conceptualize, design, implement, and validate new approaches to representation learning and content embeddings
  • Explore and apply state-of-the-art AI/ML techniques, including methods for improving how LLMs and foundation models represent and reason about content
  • Develop production-ready solutions and partner with application teams to ensure research translates into member-facing impact
  • Design and run rigorous offline experiments and evaluations to validate new approaches
  • Collaborate with cross-functional teams across content understanding, foundation models, and personalization applications
  • Contribute to the broader research community through publications at top venues

What We're Looking For
Must-haves:
  • Ph.D. in Computer Science or a related field with a strong publication record in embeddings, representation learning, or a closely related domain
  • 3+ years of research experience with a track record of delivering quality results
  • Deep expertise in machine learning, including practical experience with LLMs and/or foundation models
  • Strong software engineering skills in Python (eg, PyTorch /)
  • Excellent communication and collaboration skills

Nice-to-haves:
  • Experience in adopting LLM for Recsys. More specifically, building Semantic IDs and ground them in LLMs.
  • Experience in computer vision or multimodal AI
  • Industry experience in recommendation systems, search, personalization, or retrieval
  • Experience with LLM pre-training, fine-tuning, or distillation
  • Hands-on experience with distributed training
  • Publications in top ML conferences (NeurIPS, ICML, ICLR, KDD, RecSys)
  • Applied research experience in industrial settings

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Netflix logo

About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

View All Netflix Jobs

Apply