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E Learning Developer Jobs in Dallas, TX (NOW HIRING)

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $130K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Veho

Senior Machine Learning Platform Engineer

Dallas, TX · On-site

$103K - $142K/yr

The Senior Machine Learning Platform Engineer will work alongside data scientists and software ... Reinventing delivery and returns for the e-commerce era. Founded in 2016, the company is ...

Intuit

Staff Machine Learning Engineer

Plano, TX

Knowledge of machine learning techniques (i.e. classification, regression, and clustering ... Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ...

Intuit

Staff Machine Learning Engineer

Plano, TX

Knowledge of machine learning techniques (i.e. classification, regression, and clustering ... Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ...

Caeus

Manager, Courseware Standards & Innovation

Dallas, TX · On-site

$112K - $115K/yr

ID certifications (e.g., ATD, eLearning Guild) beneficial * 8-12 years in L&D/courseware; 3-5 ... Cross-functional facilitation (ID, media, engineering) * Continuous improvement mindset (Lean ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Senior Machine Learning Engineer Location: Ann Arbor, Michigan Experience Level: 7+ Years ... Strong programming skills in Python with experience in ML libraries (e.g., scikit-learn, XGBoost ...

Photon

Machine Learning Engineer - NJ

Dallas, TX

Machine Learning Engineer We are seeking a Machine Learning Engineer to design and develop robust ... Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow ...

Uplift Education

Manager, Tech Career Pathways

Dallas, TX · On-site

$112K - $115K/yr

... programming, including CTE pathway coordination, campus clubs, certifications, and tech-focused learning experiences aligned with Uplift's network-wide workforce development goals. Together, these ...

Uplift Education

Manager, Tech Career Pathways

Dallas, TX

$112K - $115K/yr

... programming, including CTE pathway coordination, campus clubs, certifications, and tech-focused learning experiences aligned with Uplift's network-wide workforce development goals. Together, these ...

TOCA Football

Learning & Content Manager

Dallas, TX · On-site

Design engaging eLearning and training content using tools such as Adobe Captivate, Articulate ... Engineering, and Experience teams to support training and content needs * Act as the central ...

TOCA Football

Learning & Content Manager

Dallas, TX

Design engaging eLearning and training content using tools such as Adobe Captivate, Articulate ... Culture, Operations, Marketing, Engineering, and Experience teams to support training and content ...

Samprasoft

Machine Learning Engineer

Roanoke, TX

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI ... Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in ... Strong programming skills in Python with experience in ML libraries (e.g., scikit-learn, XGBoost ...

PIVOT Workforce

Preconstruction Manager

Fort Worth, TX · On-site

$110K - $130K/yr

Professional Engineer (PE) license or E.I.T license Proficiency in Revit software with demonstrated experience in 3D modeling and simulation. Minimum of 5 years of experience in preconstruction ...

Apex Systems

VMO Manager

Irving, TX

$65 - $80/hr

High-visibility role with influence across product, engineering, and vendor partners * Blend of ... learning. We offer quality career resources, training, certifications, development opportunities ...

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All JobsE Learning Developer JobsE Learning Developer Jobs in Dallas, TX

E Learning Developer information

See Dallas, TX salary details

$17

$38

$50

How much do e learning developer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for e learning developer in Dallas, TX is $38.03, according to ZipRecruiter salary data. Most workers in this role earn between $32.36 and $42.31 per hour, depending on experience, location, and employer.

What jobs pay 10,000 a month without a degree?

An E Learning Developer can potentially earn $10,000 a month through freelance projects, high-demand corporate contracts, or specialized consulting, especially with advanced skills in instructional design, multimedia tools, and e-learning platforms. Achieving this income level often requires building a strong portfolio, gaining experience, and establishing a client base without formal degree requirements.

What is an E-Learning Developer job?

An E-Learning Developer is responsible for designing, developing, and implementing online learning materials and courses. They use instructional design principles, multimedia tools, and e-learning software to create engaging and interactive content. Their role often involves collaborating with subject matter experts, graphic designers, and other stakeholders to ensure effective learning experiences. Additionally, they may be responsible for maintaining and updating e-learning content to keep it relevant and accessible.

How to become an e-learning developer?

To become an e-learning developer, you typically need a bachelor's degree in education, instructional design, computer science, or a related field. Developing skills in e-learning authoring tools like Articulate Storyline or Adobe Captivate, along with knowledge of multimedia production and learning theories, is essential. Gaining experience through internships or project work can also help build a strong portfolio for this role.

What Does an eLearning Developer Do?

As an eLearning developer, you design and implement the structure of online courses using eLearning tools, such as instructional software and applications. You take the blueprint for the course, including content that has been created by an instructional developer, and design and code the lessons. Your duties and responsibilities are to make the lessons visually appealing and engaging while effectively conveying the lessons to students or users. As an eLearning developer, you may work for an education company or a company that designs instructional tools and solutions for employee training.

What skills are needed for an e-learning developer?

An e-learning developer needs strong skills in instructional design, multimedia creation, and e-learning authoring tools such as Articulate Storyline or Adobe Captivate. Proficiency in programming languages like HTML, CSS, or JavaScript, along with good project management and communication skills, are also important for creating effective online learning experiences.

What are the key skills and qualifications needed to thrive in the E Learning Developer position, and why are they important?

To thrive as an E Learning Developer, you need expertise in instructional design, multimedia creation, and a solid understanding of adult learning principles, typically supported by a relevant degree like instructional technology or education. Familiarity with Learning Management Systems (LMS) such as Moodle or Canvas, authoring tools like Articulate Storyline or Adobe Captivate, and experience with SCORM or xAPI standards are highly valuable. Strong project management, creative problem-solving, and effective communication skills help you collaborate and translate complex subjects into engaging online content. These competencies are critical for creating high-quality, impactful learning experiences that meet organizational and learner goals.

What are some common challenges E Learning Developers face in this role?

E Learning Developers often encounter challenges such as adapting content to suit diverse learners, ensuring accessibility compliance, and keeping up with rapidly evolving educational technologies. They may need to collaborate closely with subject matter experts who have varying levels of familiarity with digital tools, making clear communication essential. Managing tight project deadlines while maintaining high engagement and interactivity standards can also be demanding. However, overcoming these common challenges can be highly rewarding, as it directly contributes to the effectiveness and reach of educational programs.

What does an eLearning developer do?

An eLearning developer designs, develops, and implements online training courses and educational content using authoring tools and learning management systems. They collaborate with subject matter experts, create engaging multimedia materials, and ensure courses meet instructional design standards and technical requirements.
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E Learning Developer jobs near you
Infographic showing various E Learning Developer job openings in Dallas, TX as of June 2026, with employment types broken down into 2% Internship, 71% Full Time, 17% Part Time, and 10% Contract. Highlights an 78% In-person, 8% Hybrid, and 14% Remote job distribution, with an average salary of $79,096 per year, or $38 per hour.
Machine Learning Software Engineer II

Machine Learning Software Engineer II

Cambium Learning Group

Dallas, TX • On-site, Remote

$89K - $123K/yr

Full-time

Posted 10 days ago

Cambium Learning Group rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

14th of 190 rated software companies

Job description

Cambium Learning® Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction. Using a research-based, personalized approach, Cambium Learning Group delivers SaaS resources and instructional products that engage students and support teachers in fun, positive, safe and scalable environments. These solutions are provided through Learning A-Z® (online differentiated instruction for elementary school reading, writing and science), ExploreLearning® (online interactive math and science simulations, a math fact fluency solution, and a K-2 science solution), Voyager Sopris Learning® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive homeschool education and programs for literacy and science). We believe that every student has unlimited potential, that teachers matter, and that data, instruction, and practice are the keys to success in the classroom and beyond.
Job Overview:
We are seeking a talented Machine Learning Engineer II to join our CAI machine learning and scoring development team. In this role, you will be the crucial bridge between applied research and production systems. Working alongside a cross-functional group of mathematicians, computer scientists, psychometricians, and statisticians, you will design and deploy custom machine learning solutions for our clients and internal platforms.
The ideal candidate is a full-stack ML practitioner who is equally comfortable discussing algorithmic design with researchers and architecting scalable, low-latency production systems. You will own the full software development lifecycle-transforming research prototypes into optimized, production-ready solutions using modern AWS infrastructure such as SageMaker, ECS, and Lambda, with an emphasis on high-throughput inference and PyTorch-to-ONNX model optimization.
Job Responsibilities:
  • Full-Lifecycle ML Development: Lead the transition of machine learning models from theoretical prototypes into scalable, high-performance production systems.
  • AWS Cloud Architecture & Deployment: Architect and deploy ML solutions utilizing AWS ECS (Elastic Container Service) for containerized workloads and AWS Lambda for serverless, event-driven inference pipelines.
  • Model & Inference Optimization: Optimize PyTorch models for production deployment by converting them to ONNX formats. Apply advanced inference optimization techniques (quantization, pruning, ONNX Runtime) and memory-efficient attention mechanisms like Flash Attention to minimize latency and maximize throughput.
  • Infrastructure & Engineering Best Practices: Champion infrastructure best practices for machine learning systems, establishing reliable CI/CD pipelines, and ensuring robust, secure, and reproducible deployments across the AWS ecosystem.
  • Algorithm Engineering: Design, develop, and evaluate algorithms that generate descriptive, diagnostic, predictive, and prescriptive insights from both structured and unstructured data.
  • Robust Software Engineering: Write clean, efficient, and well-tested code. Complete rigorous testing, debugging, and documentation to ensure seamless installation and long-term maintenance.
  • Cross-Functional Collaboration: Actively participate in research discussions, requirements gathering, and system design alongside domain experts to build tailored scoring and ML solutions.

Job Requirements:
  • Experience: 2-5 years of industry experience in Machine Learning Engineering, Software Engineering, or Data Science, with a proven track record of architecting and deploying models to production.
  • Cloud & MLOps Infrastructure: Deep, hands-on experience with the AWS ecosystem, specifically AWS ECS and Lambda. Solid understanding of containerization (Docker) and event-driven architectures.
  • Programming Proficiency: Strong proficiency in modern programming languages used in ML (e.g., Python, C++, Java) and familiarity with industry-standard coding practices.
  • ML Frameworks & Advanced Optimization: Hands-on experience with PyTorch and other machine learning libraries (e.g., Scikit-Learn, TensorFlow). Deep understanding of model optimization pipelines, including PyTorch to ONNX conversions, ONNX Runtime, and scaling attention mechanisms (e.g., Flash Attention).
  • Data Systems: Experience working with large-scale computing frameworks, data analysis systems, and relational/non-relational databases.

Nice to Have's:
  • AWS SageMaker: Experience utilizing AWS SageMaker for managed model training and hosting.
  • Advanced LLMOps & Fine-Tuning: Hands-on experience applying modern parameter-efficient fine-tuning methods (such as LoRA and qLoRA) to large language models.
  • AI Agents: Experience building, integrating, and deploying autonomous or semi-autonomous AI agents to automate complex workflows and connect ML models with external tools/APIs.
  • NLP Expertise: Proven experience and familiarity with deep learning technologies applied specifically to Natural Language Processing (NLP) and complex text-based modeling.
  • Cross-Disciplinary Collaboration: Experience collaborating with specialized researchers (e.g., psychometricians, statisticians) to operationalize complex mathematical concepts.
  • Infrastructure as Code: Experience implementing IaC using tools like Terraform or AWS CloudFormation.
  • Model Monitoring: Experience setting up comprehensive model monitoring systems to detect data drift, concept drift, and model degradation in production AWS environments.

To apply for this opportunity, simply click on the "Apply" button and submit a cover letter and resume.
An Equal Opportunity Employer
We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.

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