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

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site +1

$335K - $400K/yr

The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering ... You will be working with our engineering and product teams to design, build and productionize ...

Apptronik

Reinforcement Learning Engineer

Austin, TX · On-site

As a Reinforcement Learning Engineer, you will be a core contributor to the intelligence and ... Hands-on expertise (3+ years) with common RL frameworks (e.g., PyTorch, JAX) and high-fidelity ...

Apptronik

Senior Reinforcement Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving ... Deep, hands-on expertise (5+ years) with common RL frameworks (e.g., PyTorch, JAX) and high ...

Apple, Inc.

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ... e.g. evidence, messaging, marketing), Generative AI and optimize Apple-wide systems ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ... e.g. evidence, messaging, marketing), Generative AI and optimize Apple-wide systems ...

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

E Learning Developer information

See Buda, TX salary details

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How much do e learning developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for e learning developer in Buda, TX is $36.30, according to ZipRecruiter salary data. Most workers in this role earn between $30.87 and $40.38 per hour, depending on experience, location, and employer.

What is an e learning developer?

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 are the key skills and qualifications needed to thrive as an e learning developer?

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 does an e-learning 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 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.

How much do eLearning developers make?

eLearning developers typically earn a median annual salary of around $65,000 to $85,000, depending on experience, location, and skill set. Professionals with expertise in instructional design, multimedia tools, and learning management systems may earn higher salaries, especially with certifications or advanced skills.

How to become an eLearning developer?

To become an eLearning developer, you typically need a bachelor's degree in education, instructional design, computer science, or a related field. Gaining skills in eLearning authoring tools like Articulate Storyline or Adobe Captivate, along with knowledge of multimedia development and learning theories, is essential. Building a portfolio of sample courses and obtaining certifications can also improve job prospects.

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 interactive multimedia elements, and ensure the content is accessible and engaging for learners. Proficiency in instructional design, programming, and multimedia tools is often required for this role.
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E Learning Developer jobs near you
Infographic showing various E Learning Developer job openings in Buda, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $75,495 per year, or $36.3 per hour.

Senior Machine Learning Engineer

Rokt

Austin, TX • On-site, Remote

$335K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Rokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.

We are hiring Senior Machine Learning Engineers

We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionize proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc.

Target total compensation ranges from $335k - $400k, comprised of a fixed annual salary of $210k - $260k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.

Responsibilities

  • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions for smart bidding, lookalike modelling, forecasting, and related ranking and prediction tasks.
  • Build and productionise machine learning models, including model-specific data pipelines, feature engineering within the team's feature store, and integration with the team's orchestration and serving infrastructure.
  • Evaluate model performance through offline metrics, and monitor deployed models for drift, leading retraining or rollback decisions as needed.
  • Contribute to and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects such as load testing, unit testing, and integration testing.
  • Keep track of emerging tech and trends, research the state-of-the-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments

Requirements

  • Willingness to work 4 day in-office, 1 day remote weekly schedule.
  • PhD or Master's in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval (or equivalent experience)
  • Extensive knowledge in and experience with some of the following areas: Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate modelling or conversion rate modelling
  • 3+ years of industry experience building production-grade machine learning systems, spanning model training, tuning, deployment, serving, and monitoring
  • Experience with Kubeflow (or similar), TensorFlow, and a feature store in a production environment is a massive plus
  • Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned: DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN

Benefits

  • Equity in a profitable, fast-growing company approaching $1 Billion in revenue.
  • Dollar-for-dollar 401K matching plan (up to 4% of fixed annual remuneration)
  • Fully funded health insurance (Dental, Optical, and Medical)
  • Generous allowances for wellness, technology, mobile, and transit.
  • Daily catered lunch, stocked pantry & fridges
  • Extra leave (bonus annual leave, sabbatical leave etc.)

Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like a role you'd enjoy, apply here, and you'll hear from our recruiting team.

Note: The first stage of the recruitment process for this role is to complete a 15-minute online aptitude test, which will be sent out to your application email. Successful candidates will be contacted to discuss the next steps.

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