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Machine Learning Engineer

Dallas, TX · On-site

$30 - $40/hr

In this role, you will assist in designing, developing, and deploying machine learning models and AI-powered applications. You will work closely with senior developers, data scientists, and software ...

New

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 ...

Avride

Machine Learning Engineer

Austin, TX · On-site

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Avride

Machine Learning Engineer

Austin, TX · On-site

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Paylocity

Machine Learning Engineer

Schaumburg, IL · On-site

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Paylocity

Machine Learning Engineer

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

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 ...

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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 30, 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:
What job categories do people searching Learning Engineer jobs look for? The top searched job categories for Learning Engineer jobs are:
Learning Engineer jobs near you
Infographic showing various Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Machine Learning Engineer

Tech Consulting

Dallas, TX • On-site

$30 - $40/hr

Full-time

Life

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Entry-Level AI/ML Developer

Fulltime

Candidate must be open to relocate


We are looking for a motivated Entry-Level AI/ML Developer to join our team. In this role, you will assist in designing, developing, and deploying machine learning models and AI-powered applications. You will work closely with senior developers, data scientists, and software engineers to solve real-world business problems using artificial intelligence.


Key Responsibilities

  • Develop, test, and maintain machine learning models.
  • Clean, preprocess, and analyze structured and unstructured datasets.
  • Assist in building AI-powered applications and automation solutions.
  • Write clean, efficient, and well-documented Python code.
  • Implement data pipelines for model training and inference.
  • Evaluate model performance and optimize algorithms.
  • Collaborate with cross-functional teams to understand business requirements.
  • Participate in code reviews and follow software development best practices.
  • Stay updated with the latest AI and machine learning technologies.


Required Qualifications

  • Bachelor's degree in computer science, Information Technology, Artificial Intelligence, Data Science, or a related field.
  • Basic understanding of machine learning algorithms and data structures.
  • Proficiency in Python programming.
  • Familiarity with libraries such as:
  • NumPy
  • Pandas
  • Scikit-learn
  • TensorFlow or PyTorch
  • Knowledge of SQL and databases.
  • Understanding of object-oriented programming concepts.
  • Familiarity with Git version control.
  • Strong analytical and problem-solving skills.
  • Good written and verbal communication skills.


Preferred Qualifications

  • Internship, academic project, or personal project in AI/ML.
  • Knowledge of deep learning and neural networks.
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud).
  • Experience with APIs and REST services.
  • Understanding of data visualization tools.
  • Basic knowledge of Docker and Linux.


Thanks