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Learning Experience Designer Jobs in Oregon (NOW HIRING)

DLR Group

Designer

Portland, OR · On-site

$70K - $86K/yr

... experience and learning the ins and outs of the industry. You'll assist in the creation and ... Conduct design analyses, layout designs, and code studies with some independent work * Perform ...

AAON, Inc.

Mechanical Designer

Redmond, OR · On-site

... learning. * Support engineering teams with documentation, design changes, and product updates ... Experience in HVAC or a manufacturing environment preferred. Knowledge, Skills, and Abilities:

firemountain

Jewelry Designer I

Grants Pass, OR · On-site

Experience with Microsoft Office Suite (Outlook, Excel, Word, Teams, SharePoint) and Wrike or ... Functional/Technical Expertise, Active Listening, Results Orientation, Creativity, Learning Agility ...

AAON, Inc.

Mechanical Designer

Redmond, OR

... learning. * Support engineering teams with documentation, design changes, and product updates ... Experience in HVAC or a manufacturing environment preferred. Knowledge, Skills, and Abilities:

Nike

Generative AI Lead Designer

Beaverton, OR · On-site

... appetite for learning fast, and a natural drive to share what you build with others. You're not ... Hands-on experience with node-based, visual coding environments for generative AI creative tooling ...

Verve

Strategy & Presentation Designer

OR · On-site +1

... learning from what resonates to continually pivot, iterate, and improve our visual narrative ... Requirements Experience * 2+ years of experience in a strategic design role, ideally within a brand ...

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Learning Experience Designer information

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$28

$43

$73

How much do learning experience designer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for learning experience designer in Oregon is $43.03, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $55.91 per hour, depending on experience, location, and employer.

What is a learning experience designer?

A Learning Experience Designer is a professional who creates engaging, effective educational experiences for learners. They use principles from instructional design, educational psychology, and user experience to develop courses, training programs, or digital learning tools. Their goal is to ensure that learning materials are accessible, interactive, and tailored to meet the needs of diverse learners. Learning Experience Designers often collaborate with subject matter experts and utilize technology to enhance the learning process.

How does a learning experience designer typically collaborate with subject matter experts (SMEs) during the course development process?

Learning Experience Designers often work closely with subject matter experts to ensure course content is accurate, engaging, and aligned with learning objectives. This collaboration usually involves conducting interviews, reviewing existing materials, and co-developing assessments or interactive activities. Clear communication and project management skills are essential, as designers facilitate the translation of complex information into accessible, learner-centered experiences. Regular feedback loops and iterative revisions are common, allowing both parties to refine content for maximum effectiveness.

What are the key skills and qualifications needed to thrive as a learning experience designer, and why are they important?

To thrive as a Learning Experience Designer, you need expertise in instructional design, curriculum development, and a solid understanding of learning theories, often supported by a degree in education, instructional design, or a related field. Familiarity with e-learning authoring tools (such as Articulate Storyline or Adobe Captivate), learning management systems (LMS), and multimedia production software is typically required. Creativity, strong communication, and collaboration skills help you design engaging content and work effectively with subject matter experts and stakeholders. These skills ensure the creation of impactful, accessible, and user-centered learning experiences that drive knowledge retention and learner success.

Are learning experience designers in demand?

Learning experience designers are in high demand as organizations seek to improve training and development through innovative, technology-driven solutions. They often work with e-learning tools, instructional design principles, and learning management systems, making their skills valuable across various industries. The role's growth is driven by the increasing emphasis on remote learning and digital education platforms.

How to get into learning experience design?

To become a learning experience designer, develop skills in instructional design, user experience, and multimedia tools such as Articulate or Adobe Captivate. Obtain relevant education like a degree in education, instructional design, or a related field, and gain experience through internships or project work to build a strong portfolio.

What are the most commonly searched types of Learning Experience Designer jobs in Oregon?

The most popular types of Learning Experience Designer jobs in Oregon are:

What are popular job titles related to Learning Experience Designer jobs in Oregon?

For Learning Experience Designer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Learning Experience Designer jobs in Oregon look for?

The top searched job categories for Learning Experience Designer jobs in Oregon are:

What cities in Oregon are hiring for Learning Experience Designer jobs?

Cities in Oregon with the most Learning Experience Designer job openings:

Learning Experience Designer jobs near you
Infographic showing various Learning Experience Designer job openings in Oregon as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $89,498 per year, or $43 per hour.

Manager, Machine Learning Engineering - Ad Platforms

Beaverton, OR • On-site

5014 Disney Entertainment & Sports LLC
See more jobs at 5014 Disney Entertainment & Sports LLCexternal

$200 - $250/hr

Other

Posted 8 days ago

Key responsibilities

  • Oversee end‑to‑end machine learning workflow, including data collection, model development, deployment, and modeling.

  • Lead, mentor, and guide Data Scientists, Machine Learning, and AI engineers to build scalable solutions and improve design practices.

  • Define strategic direction for machine learning projects and collaborate with product and engineering stakeholders.

Job description

Manager, Machine Learning Engineering – Ad Platforms

Job Summary: You will apply your battle‑tested experience, deep technical knowledge of software and systems including Machine Learning and AI technologies, and leadership skills to unblock and guide our ML/AI team members to design and build scalable, performant, maintainable, and testable models and pipelines in various domains using industry best practices aligned with close collaboration with the ML team in the US.

Responsibilities:

  • Lead, mentor and guide Data Scientists, Machine Learning and AI engineers to build solutions adhering to industry best practices and deliver scalable solutions including model architecture and algorithm selection.
  • Lead by example and always strive to improve designs for more scalable, cleaner, and decoupled implementations.
  • Drive adoption of best practices in model development, code quality, testing, and documentation.
  • Ensure solid understanding and usage of automated tools while adhering to company policy.
  • Define strategic direction for machine learning projects and collaborate with product and engineering stakeholders.
  • Oversee end‑to‑end machine learning workflow, including data collection, model development, deployment, and modeling, aligned with the larger platform strategy and tools in collaboration with global teams.
  • Foster innovation by exploring new ML techniques, tools, and technologies.
  • Communicate strategies, progress, and results to leadership and cross‑functional teams.
  • Ensure responsible AI practices, including fairness, explainability, and compliance with privacy and ethical standards.
  • Develop partnerships across the organization to identify and prioritize high‑impact ML opportunities.
  • Participate in on‑call rotations based on the team’s escalation policy and support schedule for ML/AI solutions.

Basic Qualifications:

  • Bachelor’s or master’s degree in computer science, engineering, mathematics, statistics, or a related field.
  • 8+ years of relevant industry experience, with at least 2–3 years in a people‑management or technical leadership role.
  • Proven ability to translate business problems into scalable ML and GenAI solutions and strong understanding of machine learning fundamentals, deep learning, and statistical modeling.
  • Proven experience designing, building, and deploying scalable machine learning models and systems in production.
  • Experience deploying ML/GenAI systems at scale using cloud platforms and MLOps practices.
  • Advanced programming proficiency (e.g., Python, Java, or similar) and experience with ML/DL frameworks such as TensorFlow, PyTorch, JAX, or Hugging Face.
  • Experience building, fine‑tuning, evaluating, and deploying LLM‑based systems (e.g., RAG, prompt engineering, model optimization).
  • Demonstrated ability to lead global teams and collaborate across organizational boundaries.

Preferred Qualifications:

  • Domain knowledge in the Ad Tech industry.
  • Experience working with large‑scale data and distributed systems.
  • Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps pipelines.
  • Track record of innovation and contributions to the ML/AI community (publications, talks, open source).

Compensation: Hiring range for this position in Los Angeles, CA area is $171,600 – $230,100 per year and Seattle Area is $179,700 – $241,000. Base pay will be determined based on internal equity, geographic region, job‑related knowledge, skills, and experience. A bonus and/or long‑term incentive units may be offered as part of the compensation package, plus a full range of medical, financial, and other benefits.

Location: Seattle, WA, USA

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