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E Learning Coordinator Jobs in Bothell, WA (NOW HIRING)

foundry10

Senior Researcher, Applied Machine Learning

Seattle, WA · On-site

$191K - $318K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead operations and partnership tasks (e.g., coordination of external data collection services ... PhD in Machine Learning or related discipline * 2-5 years relevant post-PhD work experience * First ...

Uw

Advisor and Outreach Coordinator

Seattle, WA · On-site

Advises undergraduate students 1:1 throughout the research lifecycle, e.g., supports them in ... Learning and Diversity (EXPD) and Undergraduate Academic Affairs (UAA) through active collaboration ...

GovernmentJobs.com

Adult Services Coordinator

Issaquah, WA · On-site

$22.75 - $28.75/hr

Adult Services Coordinator King County Library System (KCLS) is looking for an Adult Services ... Long Learning, Engaging with Books & Reading, Obtaining Trustworthy Information, and Making ...

Uw

Coordinator & Advisor

Seattle, WA · On-site

... e.g.,WordPress orProcessWire). Preferred Qualifications * One year of experience in program ... This position is located in the Center for Experiential Learning & Diversity, an office suite that ...

Frye Art Museum

Inclusive Learning Lead Educator

Seattle, WA · On-site

$43.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This position plays a central role in developing, coordinating, facilitating, and evaluating collection and exhibition-inspired learning experiences that connect people of all ages with art through ...

City of Seattle, WA

Recreation Center Coordinator

Seattle, WA · On-site

$48.88 - $57/hr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... based learning centers, environmental learning centers, and boating and sailing centers) and ... Coordinator position. Our Community Centers are the connecting agents for our neighborhoods and ...

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E Learning Coordinator information

See Bothell, WA salary details

$12

$26

$49

How much do e learning coordinator jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for e learning coordinator in Bothell, WA is $26.07, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $29.04 per hour, depending on experience, location, and employer.

What does an e learning coordinator do?

An E Learning Coordinator is responsible for managing and organizing online learning programs within an organization or institution. Their duties include developing digital course materials, supporting instructors and learners in using e-learning platforms, and ensuring the smooth delivery of virtual classes. They also monitor learner progress, troubleshoot technical issues, and help integrate new educational technologies to enhance the learning experience. E Learning Coordinators play a key role in bridging the gap between technology and education.

How does an e learning coordinator typically collaborate with subject matter experts and instructional designers in developing online courses?

An E-Learning Coordinator works closely with subject matter experts to gather accurate content and partners with instructional designers to ensure that material is engaging and pedagogically sound. The coordinator facilitates meetings, manages timelines, and ensures that all stakeholders are aligned throughout the course development process. Effective communication and project management skills are essential, as the coordinator often acts as the bridge between technical teams, content creators, and organizational leadership to deliver high-quality learning experiences.

What are the key skills and qualifications needed to thrive as an e learning coordinator, and why are they important?

To thrive as an E-Learning Coordinator, you need expertise in instructional design, curriculum development, and educational technology, often supported by a degree in education or instructional design. Familiarity with Learning Management Systems (LMS), authoring tools like Articulate Storyline or Adobe Captivate, and basic multimedia editing is typically required. Exceptional organizational skills, communication, and problem-solving abilities help you collaborate with educators and troubleshoot learner issues. These skills are crucial for creating engaging online learning experiences and ensuring seamless delivery of educational content.

What is the difference between E Learning Coordinator vs Instructional Designer?

AspectE Learning CoordinatorInstructional Designer
Required CredentialsBachelor's degree in education, instructional technology, or related field; certifications like ATD or CPTD helpfulBachelor's or master's in education, instructional design, or related; often holds certifications like ATD or CPTD
Work EnvironmentEducational institutions, corporate training departments, e-learning companiesEducational institutions, corporate training, e-learning development firms
Employer & Industry UsageUsed in organizations managing online training programsUsed in designing and developing online learning content and courses

While both roles involve online learning, the E Learning Coordinator manages and supports existing e-learning programs, whereas the Instructional Designer creates and develops new online courses and content. The Coordinator focuses on logistics and administration, while the Designer emphasizes content development and instructional design principles.

What are popular job titles related to E Learning Coordinator jobs in Bothell, WA?

For E Learning Coordinator jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching E Learning Coordinator jobs in Bothell, WA look for?

The top searched job categories for E Learning Coordinator jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for E Learning Coordinator jobs?

Cities near Bothell, WA with the most E Learning Coordinator job openings:

E Learning Coordinator jobs near you
Infographic showing various E Learning Coordinator job openings in Bothell, WA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $54,221 per year, or $26.1 per hour.

Software Engineer, Core Machine Learning

Meta

Bellevue, WA • On-site, Remote

$183K/yr

Full-time

Posted 24 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta is seeking a Staff Software Engineer to join the Core Machine Learning team, focused on building and scaling the foundational ML infrastructure and systems that power Meta's family of products. In this role, you will architect and deliver high-impact ML platform capabilities — spanning training infrastructure, model serving, feature engineering pipelines, and AI-accelerated developer tooling — that enable thousands of engineers and researchers across Meta to build and ship state-of-the-art machine learning models at scale.
Software Engineer, Core Machine Learning Responsibilities:
  • Architect and own large-scale ML infrastructure systems, including distributed training frameworks, model serving platforms, and feature computation pipelines that support production workloads across Meta's product surface
  • Lead the technical design and implementation of foundational ML platform components, evaluating trade-offs across performance, reliability, and developer experience
  • Drive end-to-end delivery of major ML infrastructure initiatives, coordinating across teams and disciplines to align on priorities, manage dependencies, and execute phased rollouts
  • Identify and resolve performance bottlenecks in ML training and inference systems through instrumentation, profiling, and targeted optimization
  • Define and enforce service level objectives for core ML platform services, building dashboards, alerting systems, and runbooks to reduce mean time to mitigation during incidents
  • Establish and advocate for engineering best practices in ML systems development, including testing strategies, safe rollout patterns, and AI-accelerated development workflows
  • Collaborate with research, product engineering, and infrastructure teams as a credible technical co-owner, independently driving design reviews, data analyses, and architectural decisions
  • Mentor other engineers on ML systems design, debugging complex distributed system issues, and applying AI tools to accelerate development velocity
  • Contribute to the team's technical roadmap by identifying opportunities to improve ML platform capabilities and obtaining buy-in from key stakeholders across the organization

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in software engineering with a focus on machine learning systems, ML infrastructure, or large-scale distributed systems
  • Experience designing and implementing production ML systems such as distributed training frameworks, model serving infrastructure, or large-scale feature engineering pipelines
  • Experience leading major technical initiatives from design through production, including cross-team coordination and phased rollout management
  • Experience with performance analysis and optimization of ML training or inference workloads, including profiling, instrumentation, and bottleneck resolution
  • Experience communicating technical decisions and trade-offs in writing to both engineering and non-engineering stakeholders through design documents, architectural proposals, or postmortems

Preferred Qualifications:
  • Experience defining and operating ML platform reliability programs, including resiliency testing, SLO frameworks, and incident retrospective processes
  • Experience building or contributing to open-source ML frameworks or platform tooling such as PyTorch, TensorFlow, Ray, or similar systems
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience applying AI-assisted development tools to accelerate engineering workflows, including code generation, automated testing, or intelligent debugging
  • Experience with hardware-software co-design for ML workloads, including quantization, model compression, or resource-efficient AI techniques
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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