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Learning Engineer Jobs in California (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 ...

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 ...

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 ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Plenful

Machine Learning Engineer

San Francisco, CA · On-site

About the Role We're looking for a Machine Learning Engineer to design, build, and deploy production-grade ML systems that power the next generation of Plenful's AI platform. You'll own the end-to ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Gritt

Robot Learning Engineer

South San Francisco, CA · On-site

Robot Learning Engineer Location: SF Bay Area (in-person) About the role We're looking for an experienced Robot Learning Engineer to join our team. As an early member, you will play a pivotal role in ...

RXinsider LTD.

Machine Learning Engineer

San Francisco, CA · On-site

$150 - $200/hr

About The Role We're looking for a Machine Learning Engineer to design, build, and deploy production‑grade ML systems that power the next generation of Plenful's AI platform. You'll own the ...

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All JobsLearning Engineer JobsLearning Engineer Jobs in California

Learning Engineer information

See California salary details

$37.5K

$114.3K

$189K

How much do learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for learning engineer in California is $114,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $149,500.00 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.

What are popular job titles related to Learning Engineer jobs in California?

For Learning Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Learning Engineer jobs in California look for?

The top searched job categories for Learning Engineer jobs in California are:

Learning Engineer jobs near you
Infographic showing various Learning Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $114,347 per year, or $55 per hour.

Learning Engineer

Mountain View, CA • On-site

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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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