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Library Science Internship Jobs in New York (NOW HIRING)

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ

$116K - $139K/yr

... Science, Electrical Engineering, Applied Math, or related field. • Strong Python programming ... libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch). • Academic or internship ...

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ · On-site

$116K - $139K/yr

... Science, Electrical Engineering, Applied Math, or related field. • Strong Python programming ... libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch). • Academic or internship ...

Point72

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative ...

Point72

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative ...

Garan, Incorporated

Sourcing Intern

New York, NY · On-site

$20/hr

This internship provides hands-on exposure to fabric and trim development, supplier communication ... library (labeling, filing, inventory counts, and storage organization) Coordinate shipment intake ...

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All JobsLibrary Science JobsLibrary Science Internship JobsLibrary Science Internship Jobs in New York

Library Science Internship information

See New York salary details

$9

$17

$23

How much do library science internship jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for library science internship in New York is $17.01, according to ZipRecruiter salary data. Most workers in this role earn between $13.65 and $19.18 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 New York? For Library Science Internship jobs in New York, the most frequently searched job titles are:
What job categories do people searching Library Science Internship jobs in New York look for? The top searched job categories for Library Science Internship jobs in New York are:
What cities in New York are hiring for Library Science Internship jobs? Cities in New York with the most Library Science Internship job openings:
Library Science Internship jobs near you
Infographic showing various Library Science Internship job openings in New York as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $35,373 per year, or $17 per hour.

Senior / Principal Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery

Genentech

Manhattan, NY • On-site

Full-time

Re-posted 28 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

Job Summary:
Genentech is a leading biotechnology company focused on innovative healthcare solutions. They are seeking a Senior or Principal Machine Learning Scientist to drive the development of internal reasoning Large Language Models for drug discovery tasks, working at the intersection of engineering and research.
Responsibilities:
• Lead the design and evolution of scientific reasoning systems, setting technical direction for model architectures, training strategies, and evaluation methodologies.
• Define and execute approaches to systematically improve model performance on scientific tasks, including long-horizon reasoning and complex decision-making.
• Translate biological and chemical domain knowledge into machine learning objectives, training signals, and evaluation criteria, working closely with domain experts.
• Architect and improve large-scale distributed machine learning systems, ensuring robustness, efficiency, and reproducibility across training and evaluation workflows.
• Partner with researchers and cross-functional teams to move models from research prototypes to production-ready systems that support active discovery programs.
• Translate high-level research goals into robust training code.
• Own the end-to-end integrity of large-scale training runs, from data orchestration to the development of rigorous reasoning benchmarks.
• Act as a technical mentor to junior staff and interns, fostering a culture of engineering excellence and rapid experimentation.
• Help define the long-term technical roadmap for scientific reasoning models, identifying new opportunities and setting priorities across initiatives.
• Architect new initiatives that integrate diverse data modalities, guiding the technical direction of cross-functional projects across gRED.
• Serve as a key technical authority for leadership, influencing how Genentech leverages generative AI to solve high-stakes problems in the therapeutic pipeline.
Qualifications:
Required:
• PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• For Senior (SE6): 0 – 2+ years of industry or post-doc experience with a focus on deep learning.
• For Principal (SE7): 5+ years of industry or post-PhD experience with a demonstrated track record of technical leadership and project ownership.
• Extensive experience developing and training large-scale machine learning models, including approaches to improve domain understanding, reasoning capabilities, and model alignment.
• A strong history of research excellence at top-tier venues (e.g., NeurIPS, ICLR, ICML).
• Strong software engineering skills and experience designing and operating large-scale or high-performance machine learning systems.
Preferred:
• Experience with molecular modalities (e.g., protein sequences, chemical graphs, and structured molecular data) is highly valued but not required.
• A public portfolio of research or significant contributions to open-source ML libraries.
• A passion for applying frontier AI to drug discovery.
Company:
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Genentech employees say

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Benefits

Hours and flexibility

Workplace

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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