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E Learning Developer Intern Jobs in California (NOW HIRING)

Kinetic Technologies

Engineering Intern

San Jose, CA · On-site

Salary: $25 per hour ENGINEERING Intern - tasks may include: -Evaluating and characterizing new ICs ... and learning new product applications. -Practical experience with general purpose bench test ...

PlusAI

Machine Learning Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Design and train temporal models (e.g., Video Transformers, LSTMs, or 1D-CNNs) to recognize and ... Strong foundation in classification and supervised learning. Preferred Skills: Nice-to-Haves

Nirmata

AI Software Engineer Intern

San Jose, CA

Focus on machine learning and data science. * AI Agents * MCP Servers * Familiarity with Large ... Nirmata uses E-Verify for US-based roles, confirming work authorization after a job offer is ...

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E Learning Developer Intern information

What does an E Learning Developer Intern do?

An E Learning Developer Intern assists in the design, development, and implementation of online educational content and courses. Their responsibilities often include creating multimedia elements like videos and quizzes, working with instructional designers to structure learning modules, and testing e-learning products for usability and quality. They may use authoring tools such as Articulate Storyline or Adobe Captivate and collaborate with subject matter experts to ensure content accuracy. This role helps interns gain experience with educational technology and digital content creation.

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

AspectE Learning Developer InternE Learning Specialist
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 institutions or corporate training departmentsFull-time role in corporate, educational, or e-learning companies
ResponsibilitiesAssisting in creating e-learning content, learning management system (LMS) support, basic design tasksDesigning, developing, and implementing e-learning courses, managing LMS, evaluating learner feedback

While both roles involve e-learning content, the E Learning Developer Intern is an entry-level position focused on supporting and learning, whereas the E Learning Specialist is a full-time professional responsible for designing and managing comprehensive e-learning programs.

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

To thrive as an E-Learning Developer Intern, you need a strong grasp of instructional design principles, basic proficiency in multimedia content creation, and familiarity with e-learning platforms, often gained through coursework or related experience. Knowledge of tools such as Articulate Storyline, Adobe Captivate, and Learning Management Systems (LMS) is typically expected. Strong communication, creativity, and attention to detail are essential soft skills for collaborating with subject matter experts and producing engaging content. These skills and qualities are critical for developing effective and interactive learning experiences that meet organizational training objectives.

What types of projects can an E Learning Developer Intern expect to work on during their internship?

As an E Learning Developer Intern, you can expect to be involved in creating interactive training modules, designing multimedia content, and assisting with the development of online courses. You may work with subject matter experts to gather content, use authoring tools like Articulate Storyline or Adobe Captivate, and help test courses for usability and accessibility. Collaboration with instructional designers, graphic designers, and IT staff is common, providing a well-rounded experience in digital learning development.
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E Learning Developer Intern jobs near you
Deep Learning Research Intern

Deep Learning Research Intern

FUTUREWEI TECHNOLOGIES INC

San Jose, CA • On-site

$18 - $59/hr

Other

Posted 20 days ago

Job description

Deep Learning Research Intern

(Embodied AI, Multimodal Foundation Models & Efficient Systems)

About Us

Futurewei is a well-funded independent research organization with a long history of R&D innovation in Silicon Valley. We are committed to open-source development, fundamental research, and advancing next-generation intelligent systems through collaboration and standards development.

About the Role

We are seeking a strong deep learning research intern to join our ASID team in San Jose, CA. This role focuses on building learning systems for embodied intelligence, emphasizing how multimodal foundation models can be trained, compressed, and deployed efficiently in embodied and interactive environments.

Our work goes beyond static perception. We study intelligence grounded in embodied experience-the interaction of perception, action, and environment over time-while ensuring models remain efficient, scalable, and deployable in real-world systems.

Core Research Focus Areas

The intern will contribute to one or more of the following interconnected research directions:

1. Multimodal Foundation Models

  •   Fine-tuning and adaptation of large language models (LLMs), vision-language models (VLMs), and vision-language-action (VLA) models

  • Multimodal representation learning across vision, language, and action

  • Grounding foundation models in embodied experience and temporal interaction

2. Neural (Generative) Image and Video Compression

  • Learning-based image and video compression models

  • Efficient visual representations for perception and downstream embodied tasks

  • Joint optimization of compression efficiency, reconstruction quality, and task relevance

3. Embodied AI

  • Learning frameworks that couple perception, action, and environment dynamics

  • World models, predictive learning, and agent-centric representations

  • Embodied learning in simulation or real-world-inspired environments

4. Model Compression & Inference Acceleration for Embodied Systems

  • Model compression, pruning, quantization, and distillation

  • Efficient inference and deployment strategies for embodied and real-time applications

  • Hardware- and system-aware optimization for edge or robotic platforms

Responsibilities

  • Conduct research in one or more of the focus areas above

  • Design and implement learning algorithms and experimental pipelines

  • Develop prototype systems or demos for embodied and multimodal AI applications

  • Collaborate closely with researchers in a fast-paced, research-driven environment

Qualifications

  • MS or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Robotics, Mathematics, or a related field

  • Strong foundation in machine learning and deep learning

  • Experience or strong interest in multimodal models, embodied AI, compression, or efficient inference

  • Proficiency with PyTorch; experience with HuggingFace or similar frameworks is a plus

  • Solid Python programming skills

  • Research experience with publications in top conferences or journals preferred

  • Strong communication skills and ability to work effectively in a global research team

Location: San Jose, CA

Hourly interns pay range: $18 to $59, depending on degree-seeking academic program (PhD, Master's, Bachelor's, etc.), years of relevant experience, year in school, geographic location, credentials, qualifications, and other job-related factors.

Housing allowance and relocation benefit might be provided to intern candidates who meet the qualifications.  Additional details on the compensation package will be provided to candidates during the interview process.

Employment Type: Intern

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