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Learning Engineer Jobs (NOW HIRING)

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite) Direct client- Immediate client interview We are seeking a Machine Learning Engineer to design, build ...

They are seeking a Machine Learning Engineer to build systems that analyze the performance of music promotions, providing actionable insights for creators and partners. Responsibilities : โ€ข ...

As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured ...

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine Learning Engineer (Mid - Senior Opportunity) Company: Splash Employment Type: Contract (3 months ...

Spotify is a leading music streaming platform, and they are seeking a Machine Learning Engineer to join their Music Promotion team. The role involves building systems to understand the performance of ...

Machine Learning Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

R0242766 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

Machine Learning Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

R0242757 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

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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 Jul 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 900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, machine learning executives, or senior data scientists, often requiring advanced skills, extensive experience, and sometimes equity or performance-based compensation. These positions are usually found in leading tech companies or startups with significant AI investments and may involve managing teams, developing innovative algorithms, or overseeing AI strategy. Compensation at this level reflects the value of expertise in AI development, deployment, and strategic planning.

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.

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.

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.

Will MLE be replaced by AI?

As a Learning Engineer, AI is a tool that can enhance machine learning workflows, but it is unlikely to fully replace the need for human expertise in designing, implementing, and maintaining machine learning systems. MLE roles require skills in data handling, model evaluation, and system deployment that go beyond automation. AI can automate certain tasks, but human oversight remains essential for ensuring ethical, effective, and reliable machine learning solutions.

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 engineer makes $500,000 a year?

Senior software engineers, especially those in high-demand fields like machine learning, AI, or working at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and often working in competitive markets or leadership roles.

What are the key skills and qualifications needed to thrive as a Learning Engineer, and why are they important?

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.
More about Learning Engineer jobs
What cities are hiring for Learning Engineer jobs? Cities with the most Learning Engineer job openings:
What states have the most Learning Engineer jobs? States with the most job openings for Learning Engineer jobs include:
Infographic showing various Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Machine Learning Engineer

Machine Learning Engineer

Strategic Employment

Chicago, IL โ€ข Hybrid

Other

Re-posted 13 days ago


Job description

A well-established, publicly traded company in Chicago is hiring its first full-time Machine Learning Engineer. After two years of running ML systems in production through an outside consulting firm, this organization is building the capability in-house. This is a hands-on individual contributor role where you would be building new ML pipelines and models, while also maintaining and improving what is already in production.

Hybrid: 3 days onsite, 2 days remote

Downtown Chicago

What You Bring:

  • 4+ Machine Learning engineering experience
  • Hands-on work building, deploying, and maintaining models in production
  • Python experience
  • Full pipeline experience: data ingestion, training, evaluation
  • Understand MLOps

Pluses:

  • AWS SageMaker experience
  • Generative AI
  • SQL and/or other relational databases

US work authorization required; sponsorship is not available.

If this sounds like the right scope for where you are in your career, we would like to hear from you.



Strategic Employment Partners logo

About Strategic Employment Partners

Sourced by ZipRecruiter

Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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