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Library Scientist Jobs in Kyle, TX (NOW HIRING)

SEMRON

ML Research Scientist

Austin, TX · On-site

... libraries or novel compression methods • Publications in top-tier ML venues (NeurIPS, ICLR, ICML, etc.) • Familiarity with analog computation challenges (noise, nonlinearity, limited precision ...

Sourceability

Principal NLP Scientist

Austin, TX

Practical experience with main data analysis and machine learning libraries, including Pandas ... The Principal NLP Scientist is also not the sole owner of product priorities or business ...

SpangleAI

AI/ML Scientist

Austin, TX · On-site

They are seeking an AI/ML Scientist responsible for building generative AI and large language ... libraries focused on GAI/LLM development • Familiarity with data warehouse and data pipeline ...

Hp

AI Data Scientist - Enterprise AI

Austin, TX

$130K - $205K/yr

Proficiency in Python and modern AI/ML libraries and frameworks. * Experience with model evaluation ... Data Science & Statistical Analysis * Enterprise Problem Solving * Experimentation & Model ...

Apple

Senior Data Scientist, Apple Ads

Austin, TX · On-site

... libraries, including an understanding of code structure, testing, reproducibility, and scalable analytical workflows Strong foundation in statistics, experimentation, causal inference, and analytical ...

PayPal

Sr Data Scientist, Fraud Risk Oversight

Austin, TX · On-site

$130K - $193K/yr

Drive best practices in data science. * Ensure data quality and integrity in all processes ... Skilled in using tools like Tableau, Looker, Power BI, or Python libraries (Seaborn, Plotly) to ...

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All JobsLibrary Scientist JobsLibrary Scientist Jobs in Kyle, TX

Library Scientist information

See Kyle, TX salary details

$48.5K

$106.8K

$131.9K

How much do library scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for library scientist in Kyle, TX is $106,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a library scientist?

Library scientists, also known as library and information scientists, are professionals who manage, organize, and facilitate access to information resources in libraries and related institutions. They use their expertise in information science, technology, and research to classify, preserve, and retrieve data for users. Library scientists also develop systems for cataloging, digital archiving, and improving information accessibility. Their work supports education, research, and the dissemination of knowledge in various settings, including public, academic, and special libraries.

What are the key skills and qualifications needed to thrive as a library scientist?

To thrive as a Library Scientist, you need a solid grounding in information science, research methodologies, and data organization, usually supported by a master's degree in library and information science (MLIS). Familiarity with cataloging systems (like MARC), digital archives, and library management software is typically required. Strong analytical thinking, attention to detail, and excellent communication skills help set outstanding professionals apart in this field. These skills ensure efficient information management, user support, and the advancement of library services in an evolving digital environment.

What are some typical challenges faced by library scientists in managing digital collections?

Library Scientists often encounter challenges in managing digital collections, such as ensuring proper metadata standards, integrating new technologies, and safeguarding digital assets against data loss or obsolescence. They must balance accessibility for users with copyright and licensing restrictions, and regularly evaluate digital preservation strategies. Collaboration with IT professionals and ongoing training are essential for staying current with evolving best practices in digital library science.

What is the difference between Library Scientist vs Librarian?

AspectLibrary ScientistLibrarian
Required CredentialsMaster's degree in Library Science or related field, often with research experienceMaster's degree in Library Science (MLS) or equivalent
Work EnvironmentResearch institutions, academic settings, specialized librariesPublic, school, academic, or special libraries
Employer & Industry UsageResearch organizations, universities, government agenciesPublic libraries, schools, universities, corporate libraries
Common Search & ComparisonResearch roles, data analysis, library science researchLibrary management, user services, collection development

While both Library Scientists and Librarians hold master's degrees in Library Science, Library Scientists focus more on research, data analysis, and developing new library systems, often working in academic or research settings. Librarians typically manage library operations, assist users, and curate collections in public or educational libraries. The roles overlap in credentials but differ in focus and work environment.

How much does a library scientist make?

The average salary for a library scientist is around $60,000 to $80,000 per year, depending on experience, education, and location. Professionals in this role often hold advanced degrees and may work in academic, public, or research libraries, utilizing specialized skills in information management and data analysis.

Is library science still in demand?

Library scientists, or librarians, continue to be in demand for managing information resources, digital collections, and community services. Employment opportunities are expected to grow steadily, especially with skills in digital tools, data management, and information technology.

What does a library scientist do?

A library scientist researches, develops, and manages information systems and library technologies to improve access to information. They analyze data, design databases, and implement digital tools, often using programming and data management skills, to enhance library services and information retrieval. The role may also involve developing policies and training staff on new systems.

What are popular job titles related to Library Scientist jobs in Kyle, TX?

For Library Scientist jobs in Kyle, TX, the most frequently searched job titles are:

What job categories do people searching Library Scientist jobs in Kyle, TX look for?

The top searched job categories for Library Scientist jobs in Kyle, TX are:

What cities near Kyle, TX are hiring for Library Scientist jobs?

Cities near Kyle, TX with the most Library Scientist job openings:

Library Scientist jobs near you
Infographic showing various Library Scientist job openings in Kyle, TX as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $106,839 per year, or $51.4 per hour.

ML Research Scientist

SEMRON

Austin, TX • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
SEMRON is redefining what’s possible in AI hardware, and they are seeking an ML Research Scientist to design algorithms and quantization schemes for efficient inference on their analog in-memory compute platform. The role involves researching novel quantization methods, designing algorithms for matrix-vector multiplication, and collaborating with hardware engineers to define algorithmic requirements.
Responsibilities:
• Research and develop novel analog-aware quantization methods (PTQ and QAT) tailored to in-memory compute constraints
• Design mathematically principled matrix-vector multiplication algorithms that exploit sparsity, noise resilience, and non-idealities to improve hardware efficiency
• Collaborate with analog hardware engineers to define algorithmic requirements and guide co-development of compute primitives
Qualifications:
Required:
• PhD or equivalent research experience in machine learning, applied mathematics, or a related field
• Strong understanding of quantization, model optimization, and numerical methods for DNNs
• Proficiency in Python and PyTorch, with the ability to rapidly prototype and evaluate research ideas
• A research mindset: curiosity, rigor, and the ability to explore and discard ideas efficiently
Preferred:
• Contributions to quantization libraries or novel compression methods
• Publications in top-tier ML venues (NeurIPS, ICLR, ICML, etc.)
• Familiarity with analog computation challenges (noise, nonlinearity, limited precision, etc.) and the ability to abstract them into robust algorithms
• Experience collaborating with hardware teams or formulating algorithm-hardware co-design strategies
Company:
SEMRON develops a 3D-scaled AI inference chip, based on a new proven semiconductor device. Founded in 2020, the company is headquartered in Dresden, DEU, with a team of 11-50 employees. The company is currently Early Stage.

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