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Learning Engineer Jobs (NOW HIRING)

NY ยท On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Python PyTorch TensorFlow AWS MLOps Spark About the role As a Machine Learning Engineer, the candidate will design, build, and deploy ML models that solve complex business problems at scale. This ...

Lead Machine Learning Engineer (IC)

New York, NY ยท On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer (IC) 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.

Machine Learning Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Machine Learning Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 conduct ...

Machine Learning Engineer

Washington, DC

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 conduct ...

Machine Learning Engineer

Minneapolis, MN ยท On-site

$130 - $170/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our ...

Machine Learning Engineer

Minneapolis, MN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our ...

Lead Machine Learning Engineer (IC)

New York, NY ยท On-site

$112K - $147K/yr

Lead Machine Learning Engineer (IC) 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.

Lead Machine Learning Engineer (IC)

Richmond, VA ยท On-site +1

$101K - $133K/yr

Lead Machine Learning Engineer (IC) 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.

Machine Learning Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 conduct ...

Machine Learning Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 conduct ...

Machine Learning Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Life

  • Retirement

  • PTO

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 conduct ...

Machine Learning Engineer

Aurora, CO ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Machine Learning Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

R0245828 Machine Learning Engineer The Opportunity: As an experience d AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

Machine Learning Engineer

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...

Showing results 41-60

Learning Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do learning engineer jobs pay per year?

As of Aug 20, 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.
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 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.

Machine Learning Engineer

Errgo

NY โ€ข On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

Python PyTorch TensorFlow AWS MLOps Spark

About the role

As a Machine Learning Engineer, the candidate will design, build, and deploy ML models that solve complex business problems at scale. This role owns the full ML lifecycleโ€”from problem formulation and data preparation through model training, evaluation, and production deploymentโ€”with a focus on building systems that are reliable, performant, and maintainable.The engineer will work at the intersection of research and engineering, translating state-of-the-art ML techniques into production systems that serve real users. They will collaborate with data engineers to build robust feature pipelines, partner with product teams to identify high-impact ML applications, and establish MLOps practices that enable rapid experimentation and deployment.The ideal candidate combines deep ML expertise with strong software engineering skills. They are comfortable working across the stack, from distributed training infrastructure to model serving and monitoring. This role offers significant ownership and the opportunity to shape ML strategy and architecture.

What you'll do
  • Design and implement machine learning models to solve business problems
  • Build end-to-end ML pipelines for training, evaluation, and deployment
  • Develop and maintain feature engineering pipelines
  • Optimize model performance for accuracy, latency, and cost
  • Deploy models to production using AWS SageMaker, Kubernetes, or similar
  • Implement monitoring and alerting for model performance in production
  • Collaborate with data engineers, product managers, and stakeholders
  • Stay current with ML research and evaluate new techniques for applicability
What you bring
  • 3-6 years of experience in machine learning engineering or applied ML
  • Strong Python skills with deep experience in PyTorch or TensorFlow
  • Experience training and deploying models in production environments
  • Solid understanding of ML fundamentals (deep learning, classical ML, optimization)
  • Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, or similar)
  • Familiarity with MLOps practices (experiment tracking, model versioning, CI/CD)
  • Experience with distributed computing (Spark, Ray) is a plus
  • Strong communication skills and ability to work cross-functionally
What you get
  • Medical, dental, and vision insurance
  • 401(k)
  • Equity
  • Flexible PTO
  • Hybrid work options

Job details and compensation are subject to change.

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