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Internship Remote E Learning Developer Jobs in Virginia

A1FED Inc

Collaborate with instructional designers, SMEs, e-learning developers, and editors to create system training materials. * Ensure 508 compliance for courseware and other training materials. * Develop ...

Capital One

Sr. Lead Machine Learning Engineer (IC)

Mclean, VA · On-site +1

$103K - $136K/yr

Sr. Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

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All JobsE Learning Developer JobsInternship Remote E Learning Developer JobsInternship Remote E Learning Developer Jobs in Virginia

Internship Remote E Learning Developer information

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

AspectInternship Remote E Learning DeveloperE Learning Specialist
CredentialsTypically pursuing or recent graduate in education, instructional design, or related fieldsBachelor's or master's in education, instructional design, or related areas; certifications like CPT or CPLP are common
Work EnvironmentRemote internship, often part-time, with mentorship and trainingFull-time or part-time remote or on-site roles in educational or corporate settings
Employer & IndustryEducational institutions, e-learning companies, corporate training providersEducational institutions, corporate training departments, e-learning content providers

The main difference is that an Internship Remote E Learning Developer is an entry-level, temporary position focused on gaining practical experience, while an E Learning Specialist is a more experienced, often full-time role responsible for designing and implementing e-learning content. Internships serve as a stepping stone into the industry, whereas specialists have established expertise and responsibilities.

What are the most commonly searched types of Remote E Learning Developer jobs in Virginia?

The most popular types of Remote E Learning Developer jobs in Virginia are:

What are popular job titles related to Internship Remote E Learning Developer jobs in Virginia?

For Internship Remote E Learning Developer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Internship Remote E Learning Developer jobs in Virginia look for?

The top searched job categories for Internship Remote E Learning Developer jobs in Virginia are:

Internship Remote E Learning Developer jobs near you
Infographic showing various Internship Remote E Learning Developer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer with SageMaker Experience

Maxiom Technology

Ashburn, VA • On-site, Remote

Full-time

Re-posted 23 days ago

Job description

Are you a passionate Machine Learning Engineer with a strong background in SageMaker, prompt engineering, and LLM (Large Language Model) model tuning? Do you thrive in a dynamic and innovative environment, eager to push the boundaries of AI capabilities? If so, we invite you to join our team as we revolutionize the world of AI-driven applications.

Position: Machine Learning Engineer
Location: Remote

Preferred Resource Location: LATAM

About Us:
Maxiom Technology is a cutting-edge technology company at the forefront of AI-driven solutions. We specialize in developing intelligent applications that leverage the power of machine learning and natural language processing. Our team consists of talented individuals who are dedicated to creating groundbreaking solutions that transform industries.

Responsibilities:

- Collaborate with cross-functional teams to design, develop, and deploy machine learning models using Amazon SageMaker.
- Utilize your expertise in prompt engineering to craft effective inputs for LLM models to achieve desired outputs.
- Fine-tune and optimize LLM models to enhance performance, efficiency, and accuracy.
- Design and implement experiments to evaluate model performance, iteratively improving results.
- Stay up-to-date with the latest advancements in machine learning, particularly in the realm of LLM models and prompt engineering techniques.
- Identify and troubleshoot issues related to model performance, data quality, and integration.
- Contribute to the entire machine learning lifecycle, from data preprocessing and training to deployment and monitoring.
- Collaborate with software engineers to integrate machine learning solutions into our applications.
- Document your work, best practices, and findings to share knowledge across the team.

Qualifications:

- Bachelor's degree in Computer Science, Engineering, or a related field (Master's or PhD preferred).
- Proven experience in developing and deploying machine learning models using Amazon SageMaker.
- Strong background in prompt engineering techniques for fine-tuning LLM models.
- Proficiency in programming languages such as Python for model development and experimentation.
- Solid understanding of natural language processing concepts and techniques.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and their integration with SageMaker.
- Experience with data preprocessing, feature engineering, and data augmentation.
- Problem-solving skills to diagnose and address model performance and data-related issues.
- Excellent communication skills to collaborate effectively within multidisciplinary teams.
- Ability to adapt to evolving technologies and learn quickly in a fast-paced environment.

Bonus Skills:

- Publications or contributions to the machine learning community.
- Experience with cloud services (AWS, Azure, Google Cloud) and containerization technologies.
- Knowledge of DevOps practices for model deployment and monitoring.

Why Join Us:

- Opportunity to work on cutting-edge projects that push the boundaries of AI technology.
- Collaborative and inclusive work environment that values innovation and creativity.
- Access to resources and support for continuous learning and professional growth.
- Competitive compensation package and benefits.

If you are an ambitious Machine Learning Engineer with a proven track record in SageMaker, prompt engineering, and LLM model tuning, we would love to hear from you. Join us in our mission to create groundbreaking AI solutions that shape the future. Apply now by sending your resume and a cover letter.

Maxiom Technology is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.