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Remote Library Jobs in Issaquah, WA (NOW HIRING)

Revenue Enablement Manager

Seattle, WA · Remote

$160K - $195K/yr

Build and maintain a pitch deck and talk track library across all major use cases -- code ... Remote-first flexibility: We are a global organization that values your well-being and provides ...

Software Engineer

Seattle, WA · On-site +1

$140K - $206K/yr

Contribute to reusable UI components, shared libraries, and frontend build pipelines to improve ... Employee divides their time between in-office and remote work. Access to an office location is ...

Senior Software Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

... libraries, and best practices that improve signal quality and reduce noise * Partner with SRE and ... Employee divides their time between in-office and remote work. Access to an office location is ...

This upcoming fully remote role will support enterprise AI initiatives focused on conversational AI ... Enhance existing prompt libraries and AI workflows to support evolving business needs and ...

Billing Specialist

Kingston, WA · On-site +1

$24.81 - $33.49/hr

Keep the NDC library up to date. * Work directly with health clinic staff on billing, coding, and ... Remote Work: * This position is eligible for alternative scheduling. The schedule must be discussed ...

Showing results 21-40

Remote Library information

See Issaquah, WA salary details

$32.9K

$84.2K

$143K

How much do remote library jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote library in Issaquah, WA is $84,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $98,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the remote library position, and why are they important?

To excel as a Remote Librarian, you need a solid background in library science, information management, and research methods, often supported by a master's degree in library or information science. Familiarity with digital cataloging systems, online databases, and remote collaboration tools is typically required. Strong communication, self-motivation, and organizational skills help professionals effectively support users and manage resources virtually. These competencies are essential for providing high-quality library services and maintaining efficient access to information in a digital, remote environment.

What is a remote library?

A Remote Library job involves providing library services and support in a virtual or online environment. Responsibilities may include cataloging digital resources, assisting patrons with research, managing databases, and facilitating virtual programs. These roles are typically performed from home or another remote location using digital tools and communication platforms. Remote librarians and library staff help users access information efficiently without needing to visit a physical library.

What does a typical day look like for a remote librarian?

A typical day for a Remote Librarian involves assisting patrons with research requests via email or chat, managing digital collections, updating online catalogs, and collaborating with academic staff or library teams through video meetings. You may also provide virtual instruction on information literacy or database usage, troubleshoot access issues, and curate digital resources relevant to users' needs. While the work is primarily independent, regular communication with colleagues and library users is common. The role offers flexibility but requires proactive time management and comfort with digital communication platforms.

What are the most commonly searched types of Library jobs in Issaquah, WA? The most popular types of Library jobs in Issaquah, WA are:
What cities near Issaquah, WA are hiring for Remote Library jobs? Cities near Issaquah, WA with the most Remote Library job openings:
Infographic showing various Remote Library job openings in Issaquah, WA as of August 2026, with employment types broken down into 2% Internship, 82% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $84,175 per year, or $40.5 per hour.

ML Scientist (Pricing Reinforcement Learning) | REMOTE |

TriOptus LLC

Bellevue, WA • On-site, Remote

Contractor

Re-posted 8 days ago


Job description

100% telecommute
Description: We seek a Senior ML Scientist to drive innovation in AI MLbased dynamic pricing algorithms and personalized offer experiences This role will focus on designing and implementing advanced machine learning models including reinforcement learning techniques like Contextual Bandits Qlearning SARSA and more By leveraging algorithmic expertise in classical ML and statistical methods you will develop solutions that optimize pricing strategies improve customer value and drive measurable business impact
Responsibilities:
  • Algorithm Development - Conceptualize design and implement state-of-the-art ML models for dynamic pricing and personalized recommendations
  • Reinforcement Learning Expertise - Develop and apply RL techniques including Contextual Bandits Qlearning SARSA and concepts like Thompson Sampling and Bayesian Optimization to solve pricing and optimization challenges
  • AI Agents for Pricing - Build AIdriven pricing agents that incorporate consumer behaviour demand elasticity and competitive insights to optimize revenue and conversion
  • Rapid ML Prototyping - Experience in quickly building testing and iterating on ML prototypes to validate ideas and refine algorithms
  • Feature Engineering - Engineer large-scale consumer behavioural feature stores to support ML models ensuring scalability and performance
  • CrossFunctional Collaboration - Work closely with Marketing Product and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact
  • Controlled Experiments - Design analyze and troubleshoot AB and multivariate tests to validate the effectiveness of your models

Qualifications:
  • 8 years in machine learning
  • 5 years in reinforcement learning recommendation systems pricing algorithms pattern recognition or artificial intelligence
  • Expertise in classical ML techniques eg Classification Clustering Regression using algorithms like XGBoost Random Forest SVM and KMeans with handson experience in RL methods such as Contextual Bandits Qlearning SARSA and Bayesian approaches for pricing optimization
  • Proficiency in handling tabular data including sparsity cardinality analysis standardization and encoding
  • Proficient in Python and SQL including Window Functions Group By Joins and Partitioning
  • Experience with ML frameworks and libraries such as scikitlearn TensorFlow and PyTorch
  • Knowledge of controlled experimentation techniques including causal AB testing and multivariate testing
  • 5+ Yrs Expereince in Pricing Reinforcement Learning
  • 8+ Yrs Experience in Machine Learning
  • Expert in Python & Tabular Data
  • SQL
  • Knowledge of AB Testing

Required Skills : Machine Learning
Basic Qualification :
Additional Skills : ML Developer
Background Check : No
Drug Screen : No