... machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases) • Record of achievement, including at least one high-impact first author publication or ...
... machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases) • Record of achievement, including at least one high-impact first author publication or ...
... machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn • ... Experience with containerization technologies, like Docker and Kubernetes • Familiarity with ...
... machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn • ... Experience with containerization technologies, like Docker and Kubernetes • Familiarity with ...
Machine Learning Engineer
San Mateo, CA · On-site
Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch ... Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry ...
Machine Learning Engineer
San Mateo, CA · On-site
Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch ... Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry ...
Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn. * Comfortable working with data and writing clean, maintainable code. * Familiarity with Git. * Good problem ...
Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn. * Comfortable working with data and writing clean, maintainable code. * Familiarity with Git. * Good problem ...
... library or framework such as scikit-learn, TensorFlow, or PyTorch. - Understanding of the machine learning lifecycle and the ability to clearly explain a project, your personal contribution, the ...
... library or framework such as scikit-learn, TensorFlow, or PyTorch. - Understanding of the machine learning lifecycle and the ability to clearly explain a project, your personal contribution, the ...
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe.
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe.
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe.
Quick apply
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe.
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe.
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe.
Strong programming experience using Python and common machine learning libraries and frameworks * Experience with machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent ...
Strong programming experience using Python and common machine learning libraries and frameworks * Experience with machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent ...
Strong programming experience using Python and common machine learning libraries and frameworks * Experience with machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent ...
Strong programming experience using Python and common machine learning libraries and frameworks * Experience with machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent ...
Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch ... Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry ...
Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch ... Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry ...
Machine Learning
Manhattan, NY · On-site
Write clean, testable Python code and maintain reusable libraries. * Develop prompts, tool-calling ... Bachelor's degree in computer science, machine learning, mathematics, physics, statistics ...
Machine Learning
Manhattan, NY · On-site
Write clean, testable Python code and maintain reusable libraries. * Develop prompts, tool-calling ... Bachelor's degree in computer science, machine learning, mathematics, physics, statistics ...
Join Cantor Fitzgerald Technology Markets LLC as a Machine Learning Engineer focused on building ... Write clean, testable Python code and maintain reusable libraries. * Develop prompts, toolcalling ...
Join Cantor Fitzgerald Technology Markets LLC as a Machine Learning Engineer focused on building ... Write clean, testable Python code and maintain reusable libraries. * Develop prompts, toolcalling ...
Extend existing ML libraries and frameworks * Keep abreast of developments in the field Requirements * Proven experience as a Machine Learning Engineer or similar role * Understanding of data ...
Quick apply
Extend existing ML libraries and frameworks * Keep abreast of developments in the field Requirements * Proven experience as a Machine Learning Engineer or similar role * Understanding of data ...
Strong programming experience using Python and common machine learning libraries and frameworks * Experience with machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent ...
Strong programming experience using Python and common machine learning libraries and frameworks * Experience with machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent ...
Strong programming experience using Python and common machine learning libraries and frameworks * Experience with machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent ...
Strong programming experience using Python and common machine learning libraries and frameworks * Experience with machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent ...
Strong programming experience using Python and common machine learning libraries and frameworks * Experience with machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent ...
Strong programming experience using Python and common machine learning libraries and frameworks * Experience with machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent ...
We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... Develop and maintain Python-based ML services and libraries that integrate with the wider Quantum ...
We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... Develop and maintain Python-based ML services and libraries that integrate with the wider Quantum ...
Machine Learning Engineer, Reinforcement Learning
Pittsburgh, PA · On-site
$100K - $300K/yr
Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch ... Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry ...
Machine Learning Engineer, Reinforcement Learning
Pittsburgh, PA · On-site
$100K - $300K/yr
Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch ... Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry ...
Machine Learning Engineer
$95K - $138K/yr
Expertise in Python programming, including machine learning libraries such as NumPy, Pandas, and PyTorch * Experience with machine learning operations practices, including continuous integration and ...
Machine Learning Engineer
$95K - $138K/yr
Expertise in Python programming, including machine learning libraries such as NumPy, Pandas, and PyTorch * Experience with machine learning operations practices, including continuous integration and ...
Machine Learning Librarian information
See salary details
$29K - $37.3K
4% of jobs
$44.7K is the 25th percentile. Wages below this are outliers.
$37.3K - $45.6K
23% of jobs
The median wage is $51.9K / yr.
$45.6K - $54K
30% of jobs
$54K - $62.3K
11% of jobs
$62.3K - $70.6K
2% of jobs
$78.1K is the 75th percentile. Wages above this are outliers.
$70.6K - $78.9K
5% of jobs
$78.9K - $87.2K
7% of jobs
$87.2K - $95.5K
1% of jobs
$95.5K - $103.9K
3% of jobs
$103.9K - $112.2K
3% of jobs
$112.2K - $120.5K
10% of jobs
$29K
$67.7K
$120.5K
How much do machine learning librarian jobs pay per year?
As of Sep 11, 2026, the average yearly pay for machine learning librarian in the United States is $67,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $84,500.00 per year, depending on experience, location, and employer.
What is a machine learning librarian?
Machine learning librarians are information professionals who specialize in the management, curation, and facilitation of data and resources related to machine learning within libraries or research institutions. They assist researchers and patrons in finding, accessing, and understanding datasets, machine learning tools, and scholarly literature. These librarians may also support the implementation of machine learning technologies in library services, such as automating metadata creation or improving search systems. Their role bridges the gap between emerging AI technologies and traditional library science, ensuring ethical and effective use of data and algorithms.
What skills and qualifications are needed to be a machine learning librarian?
To thrive as a Machine Learning Librarian, you need expertise in library science, information organization, and a strong understanding of machine learning concepts, typically backed by a master’s degree in library science (MLS/MLIS) and knowledge of data management. Familiarity with programming languages (such as Python or R), machine learning frameworks, digital repositories, and metadata standards is essential. Strong analytical thinking, communication, and the ability to collaborate across interdisciplinary teams help professionals excel in this role. These skills ensure effective integration of machine learning in library services, enhancing information retrieval and supporting research innovation.
How do machine learning librarians collaborate with data scientists and library staff to implement AI-driven solutions?
Machine Learning Librarians often serve as a bridge between data scientists and traditional library staff, helping to translate complex technical concepts into practical library applications. They collaborate with data scientists on model development, data curation, and evaluation, ensuring that machine learning tools align with library goals and ethical standards. At the same time, they work with librarians to identify user needs, train staff on new technologies, and support the integration of AI tools into daily library operations. This collaborative approach fosters innovation while maintaining the accessibility and reliability of library services.
What are popular job titles related to Machine Learning Librarian jobs?
For Machine Learning Librarian jobs, the most frequently searched job titles are:
Machine Learning Engineer
South San Francisco, CA • On-site
Tranzeal Incorporated
• Business Management Consulting • 51 - 200 employees51 - 200 employees
Full-time
Re-posted 4 days ago
Job description
Job Summary:
Tranzeal Incorporated is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on molecular design methods. The successful candidate will manage projects deploying machine learning techniques for drug design and optimization.
Responsibilities:
• You will join Prescient Design within the Computational Sciences organization in gRED.
• Your peers will be machine learning scientists, engineers, computational chemists, and computational biologists.
• You will closely collaborate with scientists within Prescient and across gRED.
• You will develop machine learning and Bayesian optimization workflows to analyze existing, and design new, small and large molecules.
• You will be expected to form close working relationships with small molecule and protein therapeutic development efforts across the gRED organization.
• You will be expected to work on existing projects and generate new project ideas.
Qualifications:
Required:
• PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.
• Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)
• Record of achievement, including at least one high-impact first author publication or equivalent.
• Excellent written, visual, and oral communication and collaboration skills.
Preferred:
• Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit)
• Previous focus on one or more of these areas: molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, statistical methods.
• Public portfolio of computational projects (available on e.g. GitHub)
Company:
Tranzeal is an industry leading global Business Transformation Service Provider. Founded in , the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Tranzeal Incorporated is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on molecular design methods. The successful candidate will manage projects deploying machine learning techniques for drug design and optimization.
Responsibilities:
• You will join Prescient Design within the Computational Sciences organization in gRED.
• Your peers will be machine learning scientists, engineers, computational chemists, and computational biologists.
• You will closely collaborate with scientists within Prescient and across gRED.
• You will develop machine learning and Bayesian optimization workflows to analyze existing, and design new, small and large molecules.
• You will be expected to form close working relationships with small molecule and protein therapeutic development efforts across the gRED organization.
• You will be expected to work on existing projects and generate new project ideas.
Qualifications:
Required:
• PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.
• Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)
• Record of achievement, including at least one high-impact first author publication or equivalent.
• Excellent written, visual, and oral communication and collaboration skills.
Preferred:
• Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit)
• Previous focus on one or more of these areas: molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, statistical methods.
• Public portfolio of computational projects (available on e.g. GitHub)
Company:
Tranzeal is an industry leading global Business Transformation Service Provider. Founded in , the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About Tranzeal
Sourced by ZipRecruiter
Tranzeal is an industry leading global Business Transformation Service Provider. We offer specific consulting services as well as pre-packaged, industry specific solutions and services to companies around the world. Since our foundation, Tranzeal has evolved from a small start up company to a mid market player dedicated to providing solutions and services to SMB and large enterprise customers. Our Consulting Services are dedicated to helping our Clients maximize their investments in IT and the overall effectiveness and efficiency of the business. Tranzeal has built its center of competency in Enterprise Resource Planning, Business Intelligence, Supply Chain Management, Customer Resource Management and Information Integration solutions, as well as specific Service orientated offerings such as Test, Quality Assurance and Data Management.
Industry
Business management consulting
Company size
51 - 200 Employees
Headquarters location
San Jose, CA, US