ZipRecruiter

Log In

1

E Learning Developer Jobs in Oregon (NOW HIRING)

Natera

OR

Engineer rigorous alignment and post-training workflows that ground pre-trained foundation models ... Lead the authoring of technical manuscripts for peer-reviewed machine learning venues (e.g ...

Becton, Dickinson and Company

DevOps Engineer

Ashland, OR

$54 - $74/hr

Develop and maintain automation scripts (e.g., Python, Bash, or similar scripting languages) to ... Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress ...

Becton, Dickinson and Company

DevOps Engineer

Ashland, OR · On-site

$54 - $74/hr

Develop and maintain automation scripts (e.g., Python, Bash, or similar scripting languages) to ... Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress ...

Cotiviti

Principal Data Engineer AI

Own the MLOps infrastructure that machine learning engineers depend on, including experiment ... Experience with healthcare data interoperability standards (e.g., HL7, FHIR, C-CDA) and clinical ...

SentinelOne

OR · On-site

Deep expertise in building highly available, low-latency machine learning systems, including ... Expert-level knowledge of Python and modern frameworks (e.g., Pydantic), cloud-native MLOps ...

Upstart

Software Engineer, Distribution Platform

OR · On-site +1

You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning ... Experience building scalable APIs and microservices in a cloud-based environment (e.g., AWS, GCP)

Bausch+Lomb Companies Inc.

AI Agent ML Engineer

OR

$165K - $190K/yr

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning ... Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate). * Success ...

Bausch + Lomb

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning ... Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate). * Success ...

Nvidia

OR · On-site

Engage with cross-company teams (hardware/software engineering, product, QA, compliance) and drive ... Excellent organizational skills and ability to use project management tools (e.g. Jira, Aha ...

Upstart

DevOps Engineer, Cloud Platform

OR · On-site +1

$52.75 - $72.25/hr

... learning workloads. The team owns core platform components across Kubernetes (EKS), AWS ... Experience with cloud networking at scale, including ingress/egress or edge platforms (e.g ...

Career Opportunities | (ISC)²

Provide best practice advice and programming consistent with our sales course offerings and leadership principles. * Deliver classroom, e-learning, and blended training in the region. * Deliver ...

(ISC)2

Provide best practice advice and programming consistent with our sales course offerings and leadership principles. * Deliver classroom, e-learning, and blended training in the region. * Deliver ...

LMI

Experience implementing machine learning models for edge devices (e.g., TensorFlow Lite, ONNX ... Experience with DevOps practices such as CI/CD automation, containerization (Docker, Kubernetes ...

Pwc

CTIO AI Engineering Manager

Portland, OR

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ...

previous page

Showing results 41-60

All JobsE Learning Developer JobsE Learning Developer Jobs in Oregon

E Learning Developer information

See Oregon salary details

$19

$40

$53

How much do e learning developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for e learning developer in Oregon is $40.64, according to ZipRecruiter salary data. Most workers in this role earn between $34.57 and $45.24 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.

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. Salaries can increase with proficiency in tools like Articulate or Adobe Captivate and certifications in instructional design or related fields.

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 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 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.

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.
More about E Learning Developer jobs
What are popular job titles related to E Learning Developer jobs in Oregon? For E Learning Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching E Learning Developer jobs in Oregon look for? The top searched job categories for E Learning Developer jobs in Oregon are:
What cities in Oregon are hiring for E Learning Developer jobs? Cities in Oregon with the most E Learning Developer job openings:
E Learning Developer jobs near you
Infographic showing various E Learning Developer job openings in Oregon as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $84,537 per year, or $40.6 per hour.

Senior AI Software Engineer, Reinforcement Learning

Agility Robotics

Salem, OR • On-site, Remote

$187K - $292K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
Agility is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people's lives more fulfilling.
Why Join Now
Digit is one of the only humanoid robots deployed in real customer facilities today-at Schaeffler, GXO, Toyota Motor Manufacturing Canada, and Mercado Libre, with 65,000+ hours of real-world operation logged. In June 2026 we announced plans to become the first pure-play humanoid robotics company to trade publicly (ticker AGLT), in a ~$2.5B merger backed by NVIDIA, Amazon, SoftBank Vision Fund 2, and Foxconn. With $300M+ in orders for Digit and a factory built for 10,000 robots a year, we're scaling fast-and the policies you build will ship to robots working alongside people in production, not sit in simulation.
About the Role
The AI Controls team builds high-rate learned controllers that let Digit move robustly, efficiently, and safely in dynamic environments. As an AI Controls Engineer, you'll develop and deploy reinforcement learning policies across humanoid locomotion, whole-body control, and manipulation-integrating perception to enable collision-free, perceptive motion in the real world.
About The Work
  • Design, train, and deploy robust RL policies for locomotion, manipulation, whole body control, and dynamic interactions with the environment.
  • Integrate perception into RL policies to achieve obstacle-aware, collision-free motion, and perceptive manipulation.
  • Develop and maintain core RL infrastructure, including scalable training pipelines and evaluation frameworks.
  • Design and implement new simulation environments and tasks to support training and evaluation of control policies.
  • Collaborate with on-robot software and deployment teams to ship production-quality policies to Digit.

About You
  • 4+ years of experience developing and deploying RL policies for robotics applications.
  • Strong Python skills and hands-on experience with a deep learning framework such as PyTorch.
  • Experience designing reward functions, tuning hyperparameters, and implementing exploration strategies to solve complex control tasks.
  • Experience with perception-in-the-loop control, integrating real-time sensory inputs for reactive or adaptive behaviors.
  • Proven experience deploying reinforcement learning policies on real-world bipedal or quadrupedal robots.
  • Familiarity with robot simulation environments (e.g. Mujoco-Warp, Isaac) and sim-to-real transfer.
  • A collaborative approach and the ability to deliver safe, high-quality software in a fast-paced environment.

Bonus Qualifications
  • Advanced degree (MS or PhD) in Robotics, Computer Science, or a related field.
  • Experience with contact-rich manipulation, including force-torque or tactile sensing.
  • Familiarity with policy distillation (e.g. teacher-student) for transferring state-based policies to perception-driven ones.
  • Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
Anticipated Salary Range
$187,000-$292,000 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

Apply