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Learning Engineer Jobs (NOW HIRING)

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Learning Engineer

Mountain View, CA · On-site

$150 - $200/hr

... engineering (Python or JavaScript, prompt design, quick prototypes); you ship things learners touch * Demonstrated ability to create interactive, applied learning experiences -- evidence over ...

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Learning Engineer

Mountain View, CA · On-site

... engineering (Python or JavaScript, prompt design, quick prototypes); you ship things learners touch - Demonstrated ability to create interactive, applied learning experiences -- evidence over ...

career

Learning Engineer

Mountain View, CA · On-site

... engineering (Python or JavaScript, prompt design, quick prototypes); you ship things learners touch - Demonstrated ability to create interactive, applied learning experiences - evidence over ...

career

Learning Engineer

Mountain View, CA · On-site

... engineering (Python or JavaScript, prompt design, quick prototypes); you ship things learners touch - Demonstrated ability to create interactive, applied learning experiences - evidence over ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

TEKsystems

Machine Learning Engineer

Raleigh, NC · On-site

$75 - $85/hr

This role goes beyond traditional machine learning engineering. The ideal candidate will have experience designing intelligent AI systems capable of reasoning, planning, retrieval, tool utilization ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Prosum Inc.

Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Sr. Machine Learning Engineer Salary Range: $130k to $150k Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will ...

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Learning Engineer information

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$38K

$115.9K

$191.5K

How much do learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for learning engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is a learning engineer?

A Learning Engineer is a professional who designs, develops, and implements educational experiences using principles from learning science, technology, and instructional design. They work to create effective learning environments, often integrating digital tools and data analytics to enhance teaching and learning outcomes. Learning Engineers collaborate with educators, subject matter experts, and technologists to build solutions that address specific educational challenges.

What are the key skills and qualifications needed to thrive as a learning engineer?

To thrive as a Learning Engineer, you need expertise in instructional design, learning science, and educational technology, often supported by a degree in education, instructional design, or a related field. Familiarity with learning management systems (LMS), authoring tools like Articulate or Adobe Captivate, and data analytics platforms is typically required. Strong collaboration, problem-solving, and communication skills distinguish top performers in this role. These competencies are crucial for designing effective, scalable learning experiences that meet diverse learner needs and organizational goals.

How do learning engineers typically collaborate with subject matter experts and instructional designers during course development?

Learning Engineers play a pivotal role in bridging technical solutions and educational goals. They often work closely with subject matter experts to deeply understand the content, ensuring its accurate representation in digital formats. Collaboration with instructional designers is essential, as Learning Engineers translate pedagogical strategies into interactive and accessible learning experiences, utilizing technologies such as learning management systems, analytics, and multimedia tools. Effective communication and iterative feedback are key, as these teams work together to design, test, and refine educational products that maximize learner engagement and success.

What is the difference between Learning Engineer vs Instructional Designer?

AspectLearning EngineerInstructional Designer
Required CredentialsBachelor's or master's in education, instructional design, or related fields; familiarity with e-learning toolsBachelor's or master's in education, instructional design, or related fields; expertise in curriculum development
Work EnvironmentCollaborates with developers, data analysts, and educators to build digital learning solutionsDesigns and develops educational content and curricula for various learning settings
Employer & Industry UsageTech companies, online education platforms, corporate trainingSchools, universities, corporate training departments

Learning Engineers focus on developing and implementing innovative digital learning solutions using technology and data analysis, while Instructional Designers primarily create educational content and curricula. Both roles require similar educational backgrounds and often work in overlapping industries, but their core responsibilities differ in approach and focus.

Are machine learning engineers still in demand?

Machine learning engineers remain in high demand due to the growing adoption of AI and data-driven solutions across industries. They typically require skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch, and often hold advanced degrees in related fields. The role is expected to continue growing as organizations prioritize automation and intelligent systems.

What does a learning engineer do?

A learning engineer designs, develops, and implements educational programs and digital learning solutions. They analyze learning needs, create instructional content, and often use tools like learning management systems (LMS) to enhance training effectiveness. Strong skills in instructional design, technology, and data analysis are essential for this role.
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What states have the most Learning Engineer jobs?

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Learning Engineer jobs near you
Infographic showing various Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Learning Engineer

Mountain View, CA • On-site

career
See more jobs at careerexternal

$150 - $200/hr

Other

Posted 19 days ago

Job description

About LearnVector

For most of history, great teaching has been scarce. A brilliant teacher who knows you well, adapts to how you learn, and patiently stays with you until you get there — almost no one has had that. AI changes what's possible. LearnVector, founded by Andrew Ng, is building a trustworthy AI guide for learning, with a mission to accelerate human development. We're a small, fast-moving team working on-site in Mountain View, California and backed by a $100 million investment from Coursera.

About the role

You will apply deep expertise in teaching to build products that result in learners actually developing new skills — not just consuming content. You sit at the intersection of pedagogy and engineering: close enough to the craft of teaching to know what makes an explanation land, and close enough to the technology to ship it.

Great teaching is full of judgment calls: when to show a worked example, when to make the learner produce, when to let them struggle, when to step in. Your job is to encode that judgment into products and into the systems that generate learning experiences at scale, so the quality of the best human teaching survives being automated.

What you will do
  • Design learning experiences — practice tasks, explanations, feedback, assessments — grounded in how people actually acquire skills, and build them into the product
  • Translate pedagogy into specifications AI systems can execute: what a good lesson does, what a good feedback message contains, what a learner should produce and how it's judged
  • Set and hold the quality bar for AI-generated teaching content: review it, define what "good" means mechanically, and build the checks that enforce it without a human in every loop
  • Prototype quickly with AI tools — you'll build working learning experiences yourself, not hand off requirement docs
  • Work with learners directly: watch sessions, run pilots, and turn what you observe into the next iteration
  • Work directly with the founding team, including Andrew, on what good teaching looks like in this product
What you bring
  • Real teaching experience — you have taught people a skill (classroom, corporate training, coaching, course creation) and can articulate what worked and why
  • In-depth knowledge of instructional design and learning-science fundamentals (retrieval practice, worked examples, feedback, cognitive load) and a record of applying them, not just citing them
  • Hands-on builder: comfortable with modern AI tools and light engineering (Python or JavaScript, prompt design, quick prototypes); you ship things learners touch
  • Demonstrated ability to create interactive, applied learning experiences — evidence over credentials
  • Excellent writing; you can author and edit high-quality learning content in English
Nice to haves
  • Experience designing for adult professional learners or workplace upskilling
  • Experience building with LLMs: prompt pipelines, generated content with quality gates, AI feedback on learner work
  • Background in assessment design — rubrics, performance tasks, mastery measurement
  • Experience in marketing, business, or another applied professional domain we may teach
What success looks like

In your first 30 days, you will have shipped a learning experience to real learners and instrumented it well enough to know whether it taught anything.

In your first 6 months, the product's core learning experiences will carry your fingerprints — and the standards you've encoded will be enforced by systems, so quality holds as content scales beyond what any one person can review.

Equal opportunity

LearnVector is committed to a workplace of mutual respect and equal opportunity. We hire based on qualifications, merit, and business needs, and do not discriminate on the basis of any characteristic protected by applicable law.

Accommodations

If you need a reasonable accommodation at any point in the application or interview process, we'll work with you. Requests are kept confidential and separate from hiring decisions.

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