Who We Are Looking For We're seeking a Principal Machine Learning Engineer to help define and lead ... Proficiency with AI coding tools and workflows (e.g., Copilot, ChatGPT, code generation tools)
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Who We Are Looking For We're seeking a Principal Machine Learning Engineer to help define and lead ... Proficiency with AI coding tools and workflows (e.g., Copilot, ChatGPT, code generation tools)
Apply Early
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
CO · On-site
Who We Are Looking For We're seeking a Principal Machine Learning Engineer to help define and lead ... Proficiency with AI coding tools and workflows (e.g., Copilot, ChatGPT, code generation tools)
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
... e-commerce, advertising, and fulfillment. We use machine learning and Internet-scale data to ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
R Systems is a leading digital product engineering company that designs and develops chip-to-cloud ... E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust ...
R Systems is a leading digital product engineering company that designs and develops chip-to-cloud ... E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust ...
$89K - $157K/yr
Basic Qualifications • Bachelor's degree in a STEM discipline (e.g. Electrical Engineering ... Learning, Computer Vision, or Image Processing • Experience with modern software development ...
$89K - $157K/yr
Basic Qualifications • Bachelor's degree in a STEM discipline (e.g. Electrical Engineering ... Learning, Computer Vision, or Image Processing • Experience with modern software development ...
Senior Deep Learning Engineer - Autonomous Vehicles
$108K - $148K/yr
... developer efficiency and stability. What we need to see: * BS, MS, or PhD in Computer Science ... Contributions to open-source ML systems libraries (e.g., PyTorch, NCCL, FSDP, schedulers, storage ...
Senior Deep Learning Engineer - Autonomous Vehicles
$108K - $148K/yr
... developer efficiency and stability. What we need to see: * BS, MS, or PhD in Computer Science ... Contributions to open-source ML systems libraries (e.g., PyTorch, NCCL, FSDP, schedulers, storage ...
Head of Product (Denver)
Denver, CO · On-site
$140K - $190K/yr
... and eLearning products. You'll bring analytical rigor and a thoughtful, straightforward ... You'll work closely with Engineering, Learning/Content, Marketing, Sales, and Customer Success to ...
Head of Product (Denver)
Denver, CO · On-site
$140K - $190K/yr
... and eLearning products. You'll bring analytical rigor and a thoughtful, straightforward ... You'll work closely with Engineering, Learning/Content, Marketing, Sales, and Customer Success to ...
AI/ML Engineer
Aurora, CO · On-site
SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist ... Knowledge of ML frameworks (e.g., TensorFlow) * Ability to preprocess and analyze datasets
AI/ML Engineer
Aurora, CO · On-site
SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist ... Knowledge of ML frameworks (e.g., TensorFlow) * Ability to preprocess and analyze datasets
Senior Training Lead
Westminster, CO · On-site
$91K - $125K/yr
Lead the design and development of a robust digital course library using AI and advanced eLearning ... Partner with and mobilize engineering and field subject matter experts, coaching them to serve as ...
Senior Training Lead
Westminster, CO · On-site
$91K - $125K/yr
Lead the design and development of a robust digital course library using AI and advanced eLearning ... Partner with and mobilize engineering and field subject matter experts, coaching them to serve as ...
E Learning Developer information
See Colorado salary details
$18.96 - $22.11
2% of jobs
$22.11 - $25.25
0% of jobs
$25.25 - $28.40
0% of jobs
$28.40 - $31.55
12% of jobs
$31.55 - $34.70
11% of jobs
$34.87 is the 25th percentile. Wages below this are outliers.
$34.70 - $37.85
10% of jobs
The median wage is $40.62 / hr.
$37.85 - $40.99
18% of jobs
$40.99 - $44.14
16% of jobs
$45.42 is the 75th percentile. Wages above this are outliers.
$44.14 - $47.29
17% of jobs
$47.29 - $50.44
2% of jobs
$50.44 - $53.59
13% of jobs
$18
$40
$53
How much do e learning developer jobs pay per hour?
As of Jul 5, 2026, the average hourly pay for e learning developer in Colorado is $40.42, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $45.00 per hour, depending on experience, location, and employer.
What is an E-Learning Developer job?
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 Does an eLearning 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 in the E Learning Developer position, and why are they important?
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.
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What cities in Colorado are hiring for E Learning Developer jobs? Cities in Colorado with the most E Learning Developer job openings:
Full-time
Posted 5 days ago
Be an early applicant
AppFolio rating
7.0
Based on 6 frontline employees who took The Breakroom Quiz
154th of 202 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 seeking a Principal Machine Learning Engineer to help define and lead the next generation of AI systems within Realm-X, and to drive AppFolio's long-term autonomous Real Estate Performance Management (RPM) platform — autonomous AI agents that can deliver property management performance.
This is a company-impact role. You will own mission-critical AI capabilities, shape long-term technical strategy, and act as a technical visionary and advisor across teams and leadership.
You'll operate at the intersection of traditional machine learning, deep learning, and generative AI, building systems that go beyond AI assistance into execution, automation, and optimization.
This role is for someone who doesn't just build systems — but redefines how they should be built.
Your Impact
- Architect & Lead: Help define the technical vision and architecture for AI systems across Realm-X in partnership with senior leadership.
- Scale Intelligent AI Agents: Design and deploy advanced AI Agentic systems that combine reasoning, planning, and execution, including multi-agent orchestration across specialist agents (e.g., maintenance, leasing, accounting, collections).
- Improve the Foundation: Establish platform primitives and abstractions to enable context-aware, action-oriented AI that goes beyond simple assistance to true automation. Improve the standards for end-to-end ML systems: data collection, model training, evaluation, deployment, and inference infrastructure.
- Production Excellence: Architect and build scalable, multi-modal, and real-time AI applications, ensuring high-quality deployment standards.
- ML for Autonomous Property Management: Drive AppFolio's transition toward autonomous property management operations. Use existing LLMs today and instrument the proprietary data collection now that will let us selectively train, fine-tune, and RL-optimize open source LLM and SLM for the RPM domain — optimizing performance, latency, and cost.
- Reinforcement Learning for Agent Policies: Build the data and feedback loops needed to enable Reinforcement Learning over agent action policies in the partially observable, high-stakes property management environment.
Qualifications
- Systems thinker: You think in terms of systems, platforms, and long-term leverage, not just features.
- Production builder: You've built and scaled ML/AI systems in production with meaningful business impact.
- Ambiguity: You operate effectively in high ambiguity, turning unclear problems into a clear direction.
- Influence: You've led or influenced large, cross-team technical initiatives.
- Originality: You introduce new ideas, architectures, or paradigms — not just implement existing ones.
- Owner-operator: You bring a founder / owner-operator mindset: you take ownership, act with urgency, and focus on outcomes.
- Pace: You have a strong desire to move fast and deliver impact, while maintaining sound engineering judgment.
- Collaboration: You are humble, collaborative, and low-ego, and you elevate those around you.
- Sustainability: You value work-life balance as a foundation for sustained high performance.
- Vertical conviction: You bring genuine interest in winning a specific industry vertical (real estate) rather than chasing horizontal AI hype.
Must Have
- Master's or Ph.D. in Computer Science, Machine Learning, or a related field (required).
- 10+ years of experience building software systems, with significant focus on ML/AI (or equivalent impact).
- Combined academic and industry track record: Published research and shipped production systems.
- Deep ML expertise: Traditional Machine Learning, Deep Learning, and Generative AI / LLMs (prompting, fine-tuning, RAG, agents, tool and skills use).
- LLM post-training: Direct, hands-on experience with LLM post-training — SFT, RLHF, DPO, and/or RL — at non-trivial scale.
- Full ML lifecycle: Strong understanding of data extraction, model training, evaluation, deployment, and integration into production software.
- Core stack: Expert in Python, PyTorch, NumPy, AWS, Docker, SQL, embeddings, and RAG.
- Agent tooling: Experience with LangChain, LangGraph, and LLM observability tools (LangSmith).
- Production ML at scale: Experience designing and operating production-grade ML systems at scale.
- Ontology & knowledge graphs: Applied experience with ontology-driven systems, knowledge graphs, or semantic layers used to model business domains for AI systems.
- AI-native engineering: Proficiency with AI coding tools and workflows (e.g., Copilot, ChatGPT, code generation tools).
Nice to Have
- Reinforcement Learning depth: Deep RL expertise applied to sequential decision-making under partial observability.
- Experience designing evaluation and benchmarking systems for AI.
- Background in distributed systems and real-time architectures.
- Experience building platforms used by multiple engineering teams.
- Contributions to industry thought leadership (publications, talks, open source, etc.).
Location
Find out more about our locations by visiting our site.
Compensation & Benefits
The compensation that we reasonably expect to pay for this role is: $264,000 - $330,000 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.
Regular full-time employees are eligible for benefits - see here.
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