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Learning Engineer Jobs (NOW HIRING)

Skild AI

Machine Learning Engineer

Pittsburgh, PA

$100K - $300K/yr

Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...

Skild AI

Machine Learning Engineer

San Mateo, CA

$100K - $300K/yr

Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...

Cymertek

Machine Learning Engineer

Annapolis, MD

Machine Learning Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and ...

Eragon

Machine Learning Engineer

San Francisco, CA

Machine Learning Engineer We're looking for a Machine Learning Engineer to build and deploy production-grade AI systems. In this role, you'll take models from research to real-world applications ...

Intraedge

Machine Learning Engineer

Sunrise, FL · Hybrid

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 ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in ...

Black Rock Group

Machine Learning Engineer

Phoenix, AZ

$55.25 - $73.25/hr

Machine Learning Engineer Location: Phoenix, AZ (Onsite) Required Skills Machine Learning, Python, SQL, APIs, NLP, NoSQL, Spark / PySpark, CI/CD We are looking for a strong Machine Learning Engineer ...

Poesis LLC

Machine Learning Engineer

Menlo Park, CA

Poesis Machine Learning Engineer At Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. We ...

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$115.9K

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How much do learning engineer jobs pay per year?

As of Jun 18, 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 $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often found in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, data science, and leadership, along with extensive experience and sometimes advanced degrees or certifications.

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.

Is ML a high paying job?

Learning engineers and related machine learning roles tend to have high salaries compared to many other tech positions, especially with specialized skills in data modeling, programming, and AI tools. Salaries vary based on experience, location, and industry, but machine learning jobs generally offer competitive compensation due to high demand for expertise in AI and data science.

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.

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 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.

What engineers make $500,000?

Senior engineers in fields such as software, data, and systems engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in technology companies or startups with rapid growth.
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 June 2026, with employment types broken down into 3% As Needed, 91% Full Time, 3% Temporary, 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

Machine Learning Engineer

Tranzeal

South San Francisco, CA

Other

Posted 11 days ago

Job description

Machine Learning Engineer

We are looking for talented Machine Learning Engineers to join Prescient Design, a division devoted to developing structural and machine learning based methods for molecular design within Genentech's Research and Early Development (gRED) organization.

The successful candidate will manage projects deploying new techniques for machine learning based molecular optimization for the analysis and design of small and large molecule drugs within target-driven design campaigns.

Special focus will be given to engineering pipelines for probabilistic molecular property prediction and Bayesian acquisition for active learning based drug discovery.

Additional activities may extend to include engineering pipelines for molecular generative modeling.

The Role:

  • You will join Prescient Design within the Computational Sciences organization in gRED.
  • Your peers will be machine learning scientists, engineers, computational chemists, and computational biologists.
  • You will closely collaborate with scientists within Prescient and across gRED.
  • You will develop machine learning and Bayesian optimization workflows to analyze existing, and design new, small and large molecules.
  • You will be expected to form close working relationships with small molecule and protein therapeutic development efforts across the gRED organization.
  • You will be expected to work on existing projects and generate new project ideas.

Qualifications:

  • PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.
  • Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)
  • Record of achievement, including at least one high-impact first author publication or equivalent.
  • Excellent written, visual, and oral communication and collaboration skills.

Additional desired qualifications:

  • Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit)
  • Previous focus on one or more of these areas: molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, statistical methods.
  • Public portfolio of computational projects (available on e.g. GitHub).
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About Tranzeal

Sourced by ZipRecruiter

Tranzeal is an industry leading global Business Transformation Service Provider. We offer specific consulting services as well as pre-packaged, industry specific solutions and services to companies around the world. Since our foundation, Tranzeal has evolved from a small start up company to a mid market player dedicated to providing solutions and services to SMB and large enterprise customers. Our Consulting Services are dedicated to helping our Clients maximize their investments in IT and the overall effectiveness and efficiency of the business. Tranzeal has built its center of competency in Enterprise Resource Planning, Business Intelligence, Supply Chain Management, Customer Resource Management and Information Integration solutions, as well as specific Service orientated offerings such as Test, Quality Assurance and Data Management.

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

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