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

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 ...

Capital One

Lead Machine Learning Engineer

Plano, TX

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be ... 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

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be ... 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 ...

ENFRA LLC

IS Design Manager

Coppell, TX · On-site

$118K - $152K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Qualifications Required Education, Experience, and Qualifications Bachelor's degree in Engineering ...

ENFRA LLC

IS Design Manager

Coppell, TX

$118K - $152K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Qualifications Required Education, Experience, and Qualifications Bachelor's degree in Engineering ...

ENFRA LLC

IS Design Manager

Coppell, TX · On-site

$118K - $152K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Preferred Education, Experience, and Qualifications • Engineering Intern (EI) certification and ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... e.g. exploratory analysis, model fitting, and visualization) Proficient SQL skills and experience working with large data sets (big data, IoT data) Proficient with programming and modeling using ...

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

$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 ...

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

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

Photon

Machine Learning Engineer - NJ

Addison, TX

$54 - $71.50/hr

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

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Paid days off (i.e. vacation, sick days, bereavement leave) * Health and Dental plans * Retirement ...

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

E Learning Developer information

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How much do e learning developer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for e learning developer in Dallas, TX is $38.04, according to ZipRecruiter salary data. Most workers in this role earn between $32.36 and $42.36 per hour, depending on experience, location, and employer.

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.

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 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.

More about E Learning Developer jobs
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What job categories do people searching E Learning Developer jobs in Dallas, TX look for? The top searched job categories for E Learning Developer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for E Learning Developer jobs? Cities near Dallas, TX with the most E Learning Developer job openings:
E Learning Developer jobs near you
Infographic showing various E Learning Developer job openings in Dallas, TX as of July 2026, with employment types broken down into 83% Full Time, 5% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $79,129 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 23 days ago

Cambium Learning Group rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

11th of 245 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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