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Library Science Masters Jobs in Austin, TX (NOW HIRING)

Education & Experience - Masters/Bachelor degree in computer science. - 5 years of experience ... Requirements - Strong understanding of React library best practices and conventions. - Extensive ...

Education & Experience - Masters/Bachelor degree in computer science. - 5 years of experience ... Requirements - Strong understanding of React library best practices and conventions. - Extensive ...

... with common analytical libraries, including an understanding of code structure, testing ... moving environments Masters or PhD in Statistics, Economics, Mathematics, Computer Science ...

UI Developer

Austin, TX

$49.50 - $64.50/hr

Qualifications Education & Experience Masters/Bachelor degree in computer science. 5 years of ... React library best practices and conventions. Extensive experience with Backbone.js, JQuery.

Android Developer

Austin, TX

$55.25 - $72.50/hr

... Masters of Science or Bachelors of Science with 3+ years experience in Computer Science or related ... with various Android libraries (Networking, DI, Logging, etc) Experience with enterprise ...

Senior Software Engineer, CUTLASS Kernels

Austin, TX · On-site

$121K - $160K/yr

... library, and DL frameworks teams to ensure fast, functional, and timely kernel delivery to customers. What we need to see: * Masters or PhD degree in Computer Science, Computer Engineering, or ...

... Degree (Masters/PhD in Engineering/Computer Science). Self-driven and willing to work across ... and libraries In-depth understanding of NLP including tokenization, word embeddings, and basic ...

... Masters/PhD in Engineering/Computer Science). • Self-driven and willing to work across ... libraries • In-depth understanding of NLP including tokenization, word embeddings, and basic ...

... Degree (Masters/PhD in Engineering/Computer Science). Self-driven and willing to work across ... and libraries In-depth understanding of NLP including tokenization, word embeddings, and basic ...

Senior Developer Technology Engineer - AI

Austin, TX · Hybrid

$54 - $71.25/hr

... libraries, and tools teams at NVIDIA. What we need to see: * A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent ...

Advanced degree (MBA, MS in Data Science) with 15+ years of experience, including 10+ years in AI ... Proficiency in SQL, Python, and R, with a focus on AI frameworks and agent libraries. * Experience ...

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Library Science Masters information

See Austin, TX salary details

$30.7K

$64.6K

$101.6K

How much do library science masters jobs pay per year?

As of Jun 17, 2026, the average yearly pay for library science masters in Austin, TX is $64,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $74,300.00 per year, depending on experience, location, and employer.

What is the difference between Library Science Masters vs Archivist?

AspectLibrary Science MastersArchivist
Required CredentialsMaster's degree in Library Science or Information ScienceMaster's degree in Library Science, Archival Studies, or related field
Work EnvironmentPublic, academic, or special librariesArchives, museums, or historical repositories
Employer & Industry UsageLibraries, educational institutions, government agenciesHistorical societies, museums, government archives
Common Search & ComparisonOften compared for information management rolesSpecialized in preserving and managing historical records

While both roles require a Master's in Library Science or related fields, Library Science Masters graduates typically work in public or academic libraries managing collections and assisting users. Archivists focus on preserving historical records and documents in archives or museums. The two careers overlap in information management but differ in their focus on user services versus preservation of historical materials.

Is a Master's in library science useful?

A Master's in library science prepares individuals for careers as librarians, archivists, or information specialists, providing skills in information management, cataloging, and digital tools. It can enhance job prospects and earning potential in library and information services, especially when combined with relevant certifications or experience.

What are the key skills and qualifications needed to thrive with a Master's in Library Science, and why are they important?

To thrive with a Master's in Library Science, you need strong research, information management, and organizational skills, typically supported by an MLS or MLIS degree. Familiarity with library databases, cataloging systems like MARC, and digital resource management tools is essential. Excellent communication, adaptability, and customer service skills help build community relationships and support diverse patron needs. These competencies ensure effective organization, access, and dissemination of information in modern library environments.

What types of career paths can graduates with a Library Science Master's degree pursue beyond traditional library settings?

Graduates with a Library Science Master's degree are not limited to working in public or academic libraries; they can also pursue roles in information management, digital archiving, corporate research, database administration, and museum curation. Many organizations, such as law firms, government agencies, and tech companies, seek professionals with strong information organization and retrieval skills. This degree can open doors to positions like data analyst, records manager, digital asset manager, and knowledge management specialist, providing a diverse range of career advancement opportunities.

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 library director. These positions involve managing collections, providing research assistance, and utilizing library management systems; certification or state licensure may be required for some roles.

What is a Library Science Masters degree?

A Library Science Masters degree, often referred to as a Master of Library and Information Science (MLIS or MLS), is a graduate-level program designed to prepare students for professional roles in libraries, archives, and other information organizations. This degree covers topics such as information organization, research methods, digital libraries, cataloging, and library management. Graduates are equipped to work as librarians, archivists, information specialists, and in other related roles in schools, public libraries, academic institutions, and corporations.

Can you make 6 figures as a librarian?

While most librarians earn below six figures, some senior or specialized roles, such as library directors or those with advanced degrees and extensive experience, can reach or exceed a six-figure salary. Factors like location, institution type, and additional skills can influence earning potential.

How much do people with masters in library science make?

Individuals with a master's in library science typically earn a median annual salary of around $60,000 to $70,000, depending on experience, location, and the type of library or institution. Public and academic librarians often have different salary ranges, with those in larger institutions or urban areas generally earning more. Certification and specialized skills can also influence earning potential.
What are popular job titles related to Library Science Masters jobs in Austin, TX? For Library Science Masters jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Library Science Masters jobs in Austin, TX look for? The top searched job categories for Library Science Masters jobs in Austin, TX are:
What cities near Austin, TX are hiring for Library Science Masters jobs? Cities near Austin, TX with the most Library Science Masters job openings:

Data Scientist - Applied Science

Future Secure AI

Austin, TX • On-site

Other

Posted 8 days ago


Job description

About the Role

We're seeking a Data Scientist - Applied Science for our Platform team. You will join our dynamic team and significantly contribute to the evolution of our cutting-edge AI platform. This pivotal role will be instrumental in developing and applying advanced AI models, with a particular focus on enhancing the capabilities of our foundational LLM platform and leveraging it to solve complex, real-world challenges. You'll collaborate closely with engineers, researchers, and product leaders, shaping the direction of our AI platform and driving impactful applications across our partner ecosystem. This isn't just about building models; it's about architecting the future of intelligent systems.

Responsibilities

  • Help lead the design, development, and optimization of components and features within our LLM platform, ensuring scalability, reliability, and performance
  • Translate research breakthroughs and cutting-edge techniques in NLP and generative AI into practical, impactful solutions for our clients and partners. This includes experimenting with novel architectures, training methodologies, and evaluation strategies
  • Drive the development and refinement of LLM output chains for a wide range of use cases, focusing on quality, accuracy, and user experience
  • Champion MLOps best practices including robust benchmark monitoring, automated testing, and continuous improvement pipelines
  • Contribute to the development and implementation of data governance and ethical AI policies
  • Provide technical guidance and mentorship to junior data scientists, fostering a culture of innovation and excellence.
  • Contribute to the long-term technical roadmap for our AI platform and applied science initiatives, aligning with business objectives and emerging industry trends
  • Effectively communicate complex technical concepts to both technical and non-technical audiences, collaborating seamlessly with engineers, product managers, and stakeholders at all levels.

Minimum Requirements

  • Bachelors degree in Data Science, Mathematics, Statistics, Computer Science, or a related field and 3+ years of industry experience applying data science techniques to solve complex problems
  • Commercial experience with NLP techniques (supervised NLP learning with LSTM/CNN/Transformers) and deep practical experience with Generative AI frameworks and tools (e.g., Langchain, LlamaIndex, RAG, Multi-Agent Frameworks, fine-tuning approaches)
  • Advanced SQL knowledge and 3+ years' experience programming in Python, including proficiency in NLP libraries (e.g., spaCy, NLTK, Transformers)
  • Solid understanding of MLOps principles and experience with relevant tools and technologies
  • Excellent communication and interpersonal skills, with the ability to influence and collaborate effectively with diverse teams
  • An ability and desire to read and critically evaluate current research in LLMs and related fields
  • Able to thrive in a fast-paced, agile environment and embraces ambiguity
  • A strong and demonstrable history of data science experience, with the ability to clearly articulate successful past projects and their impact

Preferred Qualifications

  • Masters Degree and/or Doctorate in a relevant discipline
  • Related publications 

Why Join Us?

  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.