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Senior Elearning Developer Jobs in Colorado (NOW HIRING)

CO · On-site

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

Principal Machine Learning Engineer

Denver, CO · On-site

$228K - $253K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and ... Track record of mentoring senior engineers or leading cross-functional initiatives. * Comfort ...

Senior ML Ops Engineer

Denver, CO · On-site

$123K - $170K/yr

We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are ... DevOps, or a related technical discipline. · Strong understanding of the machine learning ...

Preconstruction Manager

Colorado Springs, CO

$110K - $145K/hr

  • Medical

  • Life

  • Retirement

  • PTO

The role actively collaborates with owners, architects, engineers, and other members of the project ... Initiate and maintain relationships with client and A/E contacts to facilitate successful ...

New

Machine Learning Engineer

Colorado Springs, CO · On-site

$135.15 - $225/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g ... Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and ...

Preconstruction Manager

Westminster, CO · On-site

$90K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Preconstruction Manager Location: Westminster, CO Wage Range: $90,000-150,000 Annually ... Promotes the sale of MTech Mechanical engineering, construction, construction management ...

Preconstruction Manager

Westminster, CO

$90K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior Preconstruction Manager Location: Westminster, CO Wage Range: $90,000-150,000 Annually ... Promotes the sale of MTech Mechanical engineering, construction, construction management ...

Showing results 21-40

Senior Elearning Developer information

What is a senior elearning developer?

Senior Elearning Developers are experienced professionals who design, develop, and implement online learning materials and courses, often using advanced technologies and instructional design principles. They lead the creation of engaging, interactive content for corporate training, educational institutions, or other organizations. In addition to technical expertise in eLearning tools and platforms, they often manage projects, mentor junior team members, and collaborate with subject matter experts to ensure learning objectives are met. Their role is crucial in delivering effective digital learning experiences that support organizational goals.

How much do senior elearning developers make?

Senior eLearning developers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. They often possess skills in instructional design, authoring tools, and learning management systems, which can influence salary levels.

What are the key skills and qualifications needed to thrive as a senior elearning developer?

To thrive as a Senior Elearning Developer, you need expertise in instructional design, eLearning authoring tools, multimedia production, and a strong background in education or instructional technology. Mastery of tools such as Articulate Storyline, Adobe Captivate, Learning Management Systems (LMS), and experience with SCORM or xAPI standards are typically required. Strong project management, creative problem-solving, and effective communication skills set standout candidates apart. These competencies ensure the creation of engaging, effective learning experiences and the successful delivery of complex eLearning projects.

What is the difference between Senior Elearning Developer vs Instructional Designer?

AspectSenior Elearning DeveloperInstructional Designer
CredentialsBachelor's degree in Education, Instructional Design, or related field; experience with eLearning toolsBachelor's or Master's in Education, Instructional Design, or related field; certification in instructional design often preferred
Work EnvironmentDevelops and codes eLearning content, often collaborating with designers and subject matter expertsDesigns learning experiences, creates storyboards, and develops instructional strategies
Employer & Industry UsageUsed in corporate training, eLearning companies, and educational institutionsCommon in educational institutions, corporate training, and eLearning development

The main difference is that Senior Elearning Developers focus on the technical development and coding of eLearning content, while Instructional Designers concentrate on designing the learning experience and instructional strategies. Both roles often collaborate but have distinct responsibilities within the eLearning development process.

What skills do you need to be a senior elearning developer?

A senior eLearning developer needs strong skills in instructional design, multimedia development, and eLearning authoring tools such as Articulate Storyline or Adobe Captivate. They should have experience with learning management systems (LMS), programming knowledge like HTML or JavaScript, and the ability to create engaging, interactive content. Additionally, project management and communication skills are important for collaborating with stakeholders and meeting deadlines.

What are some common challenges faced by senior elearning developers when managing multiple projects simultaneously?

Senior Elearning Developers often juggle several projects at once, which can present challenges such as balancing competing deadlines, adapting to different client or stakeholder requirements, and ensuring consistent quality across deliverables. Effective time management, clear communication with cross-functional teams, and the ability to quickly adapt to changing priorities are essential in this role. Utilizing project management tools and establishing transparent workflows can help manage workloads and maintain project timelines while delivering engaging, learner-centered content.
What cities in Colorado are hiring for Senior Elearning Developer jobs? Cities in Colorado with the most Senior Elearning Developer job openings:

Sr. Machine Learning Engineer

AppFolio

CO • On-site

$107K - $147K/yr

Full-time

Re-posted 7 days ago


AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

183rd of 243 rated software companies


Job description

Hi, We're AppFolio
We're innovators, changemakers, and collaborators. We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do business. We're transforming Property Management; how property managers operate, how residents live, and how intelligence flows across an entire industry.
Realm-X is AppFolio's AI-native platform powering this transformation. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X serves as both a foundation for internal teams to build and scale AI-powered products, and a core layer delivering intelligent, high-impact experiences directly to our customers.
At its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. This foundation allows us to build context-aware, action-oriented AI systems that go beyond simple assistance to power real automation and decision-making.
Who We Are Looking For
We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio's production voice and chat agent pipelines, working at the intersection of LLM agent frameworks, real-time voice technology, and streaming infrastructure.
You will work with Product, Voice channel, and ML Platform teams to translate cutting-edge agent and voice research into reliable, low-latency, multi-channel experiences that scale across our entire customer base.
Your Impact
  • Ship Voice & Text Agents: Architect and ship voice and text agent pipelines that handle real-time, multi-turn customer interactions.
  • Reasoning vs. Latency: Make principled trade-offs between reasoning depth and latency across frontier LLMs, smaller models, and routing strategies.
  • Lead a Pod: Lead a small pod of ML and platform engineers; raise the bar on agent evaluation, observability, and incident response.
  • Define Quality: Partner with Product and Voice channel teams to define KPIs, eval harnesses, and acceptance criteria for agent quality.
  • Optimize for Voice: Drive selective Small Language Model (SLM) fine-tuning and inference optimization for voice latency and cost.
Qualifications
  • You have shipped production AI agents serving real users in voice and/or text channels.
  • You think in pipelines and systems, not just models.
  • You move fast, deliver impact, and maintain sound engineering judgment.
  • You are humble, collaborative, and low-ego, and you elevate those around you.
  • You value work-life balance as a foundation for sustained high performance.
Must Have
  • Agent frameworks: Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
  • Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands the trade-offs between end-to-end voice models and modular STT → LLM → TTS architectures.
  • LLM fluency: Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs-latency trade-offs across providers.
  • Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.
  • Engineering: Expert Python, async programming, and WebSockets for real-time, bidirectional streaming.
  • ML fundamentals: Solid foundation in deep learning, model evaluation, and inference optimization; able to deploy with Docker on AWS.
  • Leadership: Demonstrated ability to lead a small team, mentor engineers, and partner credibly with Product and Design.
Nice to Have
  • Experience fine-tuning Small Language Models for domain-specific voice applications.
  • Familiarity with RAG over structured business data and tool-using agents over API surfaces.
  • Prior experience in regulated or customer-facing industries with strict reliability requirements.
  • Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions.
Location
Find out more about our locations by visiting our site. 
All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process.
Compensation & Benefits
The compensation that we reasonably expect to pay for this role is: 167,200 - 209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity.
Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type.
Regular full-time employees are eligible for benefits - see here.

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