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Internship E Learning Developer Jobs in Texas (NOW HIRING)

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Incorporate various delivery methods such as e-learning, video, microlearning, and gamification in ... Collaborate with cross-functional teams, including subject matter experts, content developers, and ...

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

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 ...

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Internship E Learning Developer information

What are some typical projects or tasks an Internship E-Learning Developer might work on?

As an Internship E-Learning Developer, you'll often be involved in creating interactive online learning modules, assisting with multimedia content development (such as videos or quizzes), and helping to update or maintain existing e-learning platforms. You may also collaborate with instructional designers and subject matter experts to ensure course content is engaging and effective. This role provides hands-on experience with industry-standard authoring tools and learning management systems, making it a great starting point for a career in digital education.

What is the difference between Internship E Learning Developer vs E Learning Specialist?

AspectInternship E Learning DeveloperE Learning Specialist
Required CredentialsTypically pursuing or recent graduate in education, instructional design, or related fieldBachelor's or master's in instructional design, education technology, or related field
Work EnvironmentInternship setting, often in educational or corporate training departmentsFull-time professional role in corporate, educational, or training organizations
Employer & Industry UsageUsed in educational institutions, e-learning companies, and corporate training programsCommon in corporate, higher education, and e-learning service providers

The main difference is that an Internship E Learning Developer is an entry-level, temporary position aimed at gaining experience, while an E Learning Specialist is a full-time professional responsible for designing, developing, and managing e-learning content and programs.

What does an Internship E Learning Developer do?

An Internship E Learning Developer assists in creating, designing, and maintaining online educational content and courses. They work with subject matter experts, instructional designers, and multimedia teams to build interactive learning modules, quizzes, and other digital resources. Interns often use e-learning software, such as Articulate Storyline or Adobe Captivate, and help test courses for quality and usability. This role is ideal for those interested in educational technology, instructional design, and digital content creation.

What are the key skills and qualifications needed to thrive as an Internship E Learning Developer, and why are they important?

To thrive as an Internship E Learning Developer, you need a foundational understanding of instructional design, e-learning principles, and proficiency in digital content creation, often supported by coursework in education or related fields. Familiarity with e-learning authoring tools like Articulate Storyline, Adobe Captivate, and Learning Management Systems (LMS) is typically required. Strong communication, creativity, and attention to detail set candidates apart in developing engaging and effective learning experiences. These skills and qualities are essential for designing interactive, learner-focused modules that meet educational objectives and organizational needs.
What cities in Texas are hiring for Internship E Learning Developer jobs? Cities in Texas with the most Internship E Learning Developer job openings:
Infographic showing various Internship E Learning Developer job openings in Texas as of June 2026, with employment types broken down into 27% Internship, 43% Full Time, 22% Part Time, 6% Temporary, and 2% Contract. Highlights an 92% In-person, 2% Hybrid, and 6% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Neuralink

Austin, TX • On-site

$199K - $331K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 12 days ago


Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
About the Team:
The BCI team develops the software and systems that communicate with the brain. These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or actuating a robotic arm. Additionally, real-world data, such as video feeds, can be encoded into neural data to project images into the visual cortex. We also work closely with users to gather feedback, make improvements, and fundamentally reshape the user experience and interface of the BCI.
About the Role:
Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop state-of-the-art neural encoders and decoders. No prior knowledge of neuroscience is required; we value simple solutions grounded in first principles.
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next-generation device architecture.
Job Responsibilities:
  • Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living.
  • Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness.
  • Utilize your fundamental understanding of neural networks and data science to develop models that serve as the foundation for machine learning applications for BCI.
  • Lead the team by performing at a high standard, setting the bar for how we build and operate our systems.
  • Inform our hardware roadmap by understanding users and identifying the product features that would have the greatest impact on their quality of life.
About You:
  • Experience writing production-level C/C++/Rust and Python
  • Proven track record of designing, building, and shipping real-time ML products
  • Strong foundation in signal processing, algorithms, and software engineering principles
  • Bachelor's degree in relevant field or equivalent experience

Fast forward to 40:32 to learn more about neural decoding:
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$199,000-$331,000 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded