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Virtual Learning Technology Jobs in Seattle, WA (NOW HIRING)

Extreme Networks

Virtual Account Executive - West

Seattle, WA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Virtual Account Executive on our U.S. Mid-Market team, you will own a defined territory of ... work with meaningful technology, and be part of a team that values execution, learning, and ...

Meta

Research Engineer, Monetization AI

Seattle, WA

$183K/yr

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Meta

Research Engineer, Monetization AI

Bellevue, WA

$183K/yr

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Meta

Software Engineer, Systems ML

Bellevue, WA

$183K/yr

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Meta

Software Engineer, Systems ML

Seattle, WA

$183K/yr

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

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All JobsLearning Technology JobsVirtual Learning Technology JobsVirtual Learning Technology Jobs in Seattle, WA

Virtual Learning Technology information

See Seattle, WA salary details

$13

$27

$38

How much do virtual learning technology jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for virtual learning technology in Seattle, WA is $27.77, according to ZipRecruiter salary data. Most workers in this role earn between $23.27 and $31.20 per hour, depending on experience, location, and employer.

What is virtual learning technology?

Virtual learning technology refers to the digital tools and platforms used to facilitate education remotely, often over the internet. This includes learning management systems, video conferencing software, interactive courseware, and other online resources that support teaching and learning outside of traditional classrooms. These technologies enable students and teachers to communicate, collaborate, and access educational materials from anywhere. Virtual learning technology is essential for online courses, blended learning environments, and distance education programs.

What are the key skills and qualifications needed to thrive as a virtual learning technology specialist, and why are they important?

To thrive as a Virtual Learning Technology Specialist, you need expertise in instructional design, digital education platforms, and educational technology, often supported by a degree in instructional technology or a related field. Familiarity with Learning Management Systems (LMS) like Canvas, Blackboard, or Moodle, and certifications such as Google Certified Educator, are commonly required. Strong problem-solving, communication, and adaptability are essential soft skills for supporting educators and learners effectively. These skills and qualifications are vital to ensure seamless integration and support of digital learning tools, leading to effective and engaging virtual learning experiences.

What are some common challenges faced by professionals working in virtual learning technology, and how can they be addressed?

Professionals in Virtual Learning Technology often encounter challenges such as keeping up with rapidly evolving digital tools, ensuring accessibility for diverse learners, and supporting educators in adopting new platforms. Addressing these challenges involves ongoing professional development, collaborating closely with instructional designers and IT teams, and maintaining open channels of feedback with users. Building strong relationships with educators and staying current with industry trends can help virtual learning technologists effectively implement and optimize technology solutions.

What is the difference between Virtual Learning Technology vs E-Learning Specialist?

AspectVirtual Learning TechnologyE-Learning Specialist
CredentialsTypically requires a degree in education, instructional design, or related fieldsOften requires a degree in instructional design, education, or multimedia
Work EnvironmentDesigns and manages online learning platforms, often in educational or corporate settingsDevelops e-learning content, courses, and multimedia materials for online training
Industry UsageUsed across education, corporate training, and e-learning sectorsPrimarily in e-learning development, instructional design, and training departments

Virtual Learning Technology focuses on implementing and managing online learning systems, while E-Learning Specialists create and develop the content for these platforms. Both roles often collaborate but have distinct focuses within the online education ecosystem.

What are the most commonly searched types of Learning Technology jobs in Seattle, WA?

The most popular types of Learning Technology jobs in Seattle, WA are:

What are popular job titles related to Virtual Learning Technology jobs in Seattle, WA?

For Virtual Learning Technology jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Virtual Learning Technology jobs in Seattle, WA look for?

The top searched job categories for Virtual Learning Technology jobs in Seattle, WA are:

Virtual Learning Technology jobs near you
Infographic showing various Virtual Learning Technology job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $57,753 per year, or $27.8 per hour.

Machine Learning Engineer - Simulation Framework

Zoox

Seattle, WA • On-site

$151K - $257K/yr

Full-time

Medical, Life, PTO

Re-posted 25 days ago

Job description

Simulation is essential for Zoox to rapidly iterate on our driving software and hardware, and to validate our safety before we drive in the real world. We create virtual worlds to challenge our robots, from real-world data, entirely novel scenarios, or a combination of both. Our simulations need to run at a huge scale to cover everything that might happen, and to help prove our driving to be safe.
As a Machine Learning Engineer on the Simulation Core Team, you will focus on the intersection of machine learning and synthetic environments within our high-speed, GPU-based simulation framework. Our success depends on you driving ML efficiency while solving complex "sim-to-sim" and "sim-to-real" fidelity gaps, ensuring our safety-critical models train on data that perfectly aligns with physical vehicle behavior.
In this role, you will:
  • Develop and optimize our GPU-based simulation framework to support complex machine learning training and validation pipelines.
  • Apply reinforcement learning concepts to solve complex behavioral and path planning challenges in simulation environments.
  • Identify and resolve "sim-to-sim" and "sim-to-real" fidelity gaps to ensure parity between high-speed ML simulations, high-fidelity 3D environments, and physical vehicle execution.
  • Build systems that allow autonomy users to self-serve data generation and accelerate their training iterations.
  • Write robust, production-ready code to integrate advanced ML algorithms directly into our core simulation architecture.

Qualifications:
  • PhD or Master's in computer science, robotics, machine learning, or a related field.
  • Deep understanding of reinforcement learning and its application in simulated or robotic environments.
  • Hands-on experience developing, training, and fine-tuning deep learning models using modern frameworks (e.g., JAX or PyTorch).
  • Strong proficiency in C++ and Python for building and deploying production machine learning systems.
  • Experience analyzing and bridging fidelity gaps between synthetic training data and real-world execution.

Bonus Qualifications:
  • Experience with GPU programming (CUDA) or high-performance compute clusters.
  • Automotive or autonomous robotics industry experience.
  • Strong background in deterministic systems and latency optimization.

$151,000 - $257,000 a year
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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