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E Learning Developer Jobs in Seattle, WA (NOW HIRING)

Truveta

Senior Machine Learning (ML) Engineer

Seattle, WA · Hybrid

$118K - $163K/yr

Senior Machine Learning Engineer Truveta is the world's first health provider led data platform ... Proficiency with agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI) and understanding of ...

Truveta

Senior Machine Learning (ML) Engineer

Seattle, WA · On-site

$118K - $163K/yr

Senior Machine Learning Engineer Truveta is the world's first health provider led data platform ... Proficiency with agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI) and understanding of ...

Grid

Senior Machine Learning Engineer

Seattle, WA · On-site

$150K - $220K/yr

The role We're adding Senior Machine Learning Engineer to our team to help us build and scale our ... Models (i.e., Random Forest). * Self Starter: Confidence to prioritize work and delivery ...

Grid

Senior Machine Learning Engineer

Seattle, WA · On-site

$150K - $220K/yr

The role We're adding Senior Machine Learning Engineer to our team to help us build and scale our ... Models (i.e., Random Forest). * Self Starter: Confidence to prioritize work and delivery ...

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All JobsE Learning Developer JobsE Learning Developer Jobs in Seattle, WA

E Learning Developer information

See Seattle, WA salary details

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$43

$57

How much do e learning developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for e learning developer in Seattle, WA is $43.75, according to ZipRecruiter salary data. Most workers in this role earn between $37.21 and $48.70 per hour, depending on experience, location, and employer.

What is an e learning developer?

An E-Learning Developer is responsible for designing, developing, and implementing online learning materials and courses. They use instructional design principles, multimedia tools, and e-learning software to create engaging and interactive content. Their role often involves collaborating with subject matter experts, graphic designers, and other stakeholders to ensure effective learning experiences. Additionally, they may be responsible for maintaining and updating e-learning content to keep it relevant and accessible.

What are the key skills and qualifications needed to thrive as an e learning developer?

To thrive as an E Learning Developer, you need expertise in instructional design, multimedia creation, and a solid understanding of adult learning principles, typically supported by a relevant degree like instructional technology or education. Familiarity with Learning Management Systems (LMS) such as Moodle or Canvas, authoring tools like Articulate Storyline or Adobe Captivate, and experience with SCORM or xAPI standards are highly valuable. Strong project management, creative problem-solving, and effective communication skills help you collaborate and translate complex subjects into engaging online content. These competencies are critical for creating high-quality, impactful learning experiences that meet organizational and learner goals.

What does an e-learning developer do?

As an eLearning developer, you design and implement the structure of online courses using eLearning tools, such as instructional software and applications. You take the blueprint for the course, including content that has been created by an instructional developer, and design and code the lessons. Your duties and responsibilities are to make the lessons visually appealing and engaging while effectively conveying the lessons to students or users. As an eLearning developer, you may work for an education company or a company that designs instructional tools and solutions for employee training.

What are some common challenges e learning developers face in this role?

E Learning Developers often encounter challenges such as adapting content to suit diverse learners, ensuring accessibility compliance, and keeping up with rapidly evolving educational technologies. They may need to collaborate closely with subject matter experts who have varying levels of familiarity with digital tools, making clear communication essential. Managing tight project deadlines while maintaining high engagement and interactivity standards can also be demanding. However, overcoming these common challenges can be highly rewarding, as it directly contributes to the effectiveness and reach of educational programs.

How much do eLearning developers make?

eLearning developers typically earn a median annual salary of around $65,000 to $85,000, depending on experience, location, and skill set. Professionals with expertise in instructional design, multimedia tools, and learning management systems may earn higher salaries, especially with certifications or advanced skills.

How to become an eLearning developer?

To become an eLearning developer, you typically need a bachelor's degree in education, instructional design, computer science, or a related field. Gaining skills in eLearning authoring tools like Articulate Storyline or Adobe Captivate, along with knowledge of multimedia development and learning theories, is essential. Building a portfolio of sample courses and obtaining certifications can also improve job prospects.

What does an eLearning developer do?

An eLearning developer designs, develops, and implements online training courses and educational content using authoring tools and learning management systems. They collaborate with subject matter experts, create interactive multimedia elements, and ensure the content is accessible and engaging for learners. Proficiency in instructional design, programming, and multimedia tools is often required for this role.
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E Learning Developer jobs near you
Infographic showing various E Learning Developer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $90,993 per year, or $43.7 per hour.

Senior Machine Learning Engineer - TikTok E-commerce Global Supply Chain and Logistics

TikTok

Seattle, WA • On-site

$202.16 - $368.22/hr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago

TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

105th of 247 rated software companies

Job description

Senior Machine Learning Engineer - TikTok E-commerce Global Supply Chain and Logistics

Location: Seattle

Employment Type: Regular

Job Code: E2885

Responsibilities
  • Build deep learning and statistical models to provide end‑to‑end ETA prediction for e‑commerce logistics; fine‑adjust ETA expression to consumers to improve click‑to‑order rate while balancing negative review indicators.
  • Use data mining tools to build logistics network knowledge graphs for situational awareness & early warning system for logistics fulfillment; enable operations to discover and address logistics network anomalies and improve logistics fulfillment quality with service providers.
  • Analyze and predict the spatio‑temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods; use trajectory prediction to enhance ETA prediction accuracy and provide key sample features for other prediction tasks.
  • Build a service network design (SND) model for location selection of transshipment centers and last‑mile stations, based on expected increase in logistics order volume.
  • Extract direction of logistics operation optimization, cost reduction and service quality improvement through in‑depth understanding of supply‑chain and logistics scenarios.
  • Develop innovative and state‑of‑the‑art e‑commerce logistics models and algorithms.
Qualifications
  • Master’s or PhD in Computer Science, Engineering, Operations Research or related fields.
  • Strong data‑structures and algorithms knowledge; excellent problem‑solving ability and programming skills.
  • Experience in applied machine learning; familiar with algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, etc.
  • Experience with at least one Big Data tool (e.g., Hive, Spark, MapReduce) and at least one deep‑learning tool (e.g., TensorFlow, PyTorch).
  • Work experience in e‑commerce, supply chain, logistics, transportation or related fields is preferred.
  • Publications in top conferences (KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI) are preferred.
  • 3+ years of experience in machine learning, operations research or big‑data analysis.
Job Information

The base salary range for this position in the selected city is $202,160 – $368,220 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total package provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of paid personal time (prorated upon hire with increasing accruals by tenure).

The company reserves the right to modify or change these benefits programs at any time, with or without notice.

Legal Information

For Los Angeles County (unincorporated) candidates: qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

  1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
  3. Exercising sound judgment.
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