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Internship Remote E Learning Developer Jobs in Virginia

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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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 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 21% Part Time, 3% Contract, and 1% Nights. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

AI Machine Learning Developer Principal

Arlington, VA • On-site, Remote

SAIC
IT Services • 10K+ employees
Learn more about SAICexternal

$160K - $200K/yr

Full-time

Posted 9 days ago

SAIC rating

7.7

Company rating: 7.7 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

Job description

Job ID: 2616563-OTHLOC-100000685975237

Location: Arlington, VA, US

Date Posted: 2026-09-04

Category: Engineering and Sciences

Subcategory: Machine Learning Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_HYBRID


Description

We are seeking to build a team of AI/ML Developers to join our Solutions and Technology Group, reporting to the Intel Space CTO. In this matrixed role, you will lead the creation, prototyping, and operationalization of cutting-edge Artificial Intelligence and Machine Learning (AI/ML) Proof of Concepts (PoCs) specifically tailored for Intelligence Community (IC) mission use cases.

This is a dynamic, high-impact set of positions supporting multiple programs. You will operate as a shared technical subject matter expert, balancing intermixed timelines, competing program priorities, and evolving delivery expectations. The ideal candidates excels at rapid prototyping, taking complex concepts and turning them into functional demonstrations. This is a hybrid opportunity and are open to candidates in Chantilly or NOVA. Candidates must have an active TS/SCI clearance. 

1. Rapid PoC & Demo Prototyping (40%)

  • Design & Build: Rapidly design, build, and deploy high-fidelity, visual AI/ML prototypes (GenAI/LLMs, NLP, computer vision, predictive analytics) to address complex IC mission needs. The PoCs can be either on the unclassified side or on-prem in a SCIF.
  • Mission Alignment: Collaborate with program leads and stakeholders to align prototypes with real-world user workflows and emerging technical requirements.

2. Operationalization & MLOps Integration (30%)

  • Secure Deployment: Transition sandboxed PoCs into secure, multi-tenant cloud environments (AWS C2S, Azure Secret) and air-gapped networks.
  • Pipeline Engineering: Build automated CI/CD pipelines, containerize applications, and ensure compliance with federal software assurance and security standards.

3. Matrixed Program Support & Timeline Management (20%)

  • Cross-Program Execution: Successfully divide technical execution across multiple active programs with distinct, overlapping deliverable timelines.
  • Priority Coordination: Proactively negotiate schedules with multiple Project Managers to ensure all high-priority milestones are met.

4. Technical Communication & Stakeholder Engagement (10%)

  • Demos & Docs: Conduct compelling live technical demonstrations for senior IC customers and maintain clean, reusable codebases and architectural documentation.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical discipline with 9+ years of relevant experience; OR Master’s degree with 7 years of relevant experience.
  • Candidates must be U.S. Citizens.
  • Clearance: Active TS/SCI (or ability to immediately upgrade from TS if SCI was held within the last 3 years).
  • Programming Skills: Proficiency in Python and software engineering practices (version control with Git, unit testing, clean code architectures).
  • Foundational AI/ML Frameworks: Hands-on experience developing ML models using frameworks like PyTorch or TensorFlow, and handling structured/unstructured data.

Preferred Qualifications:

  • Experience deploying AI/ML models in secure, multi-tenant cloud environments (e.g., AWS C2S / SC2S, Azure Government) or air-gapped networks.
  • Familiarity with MLOps and orchestration platforms (e.g., MLflow, Kubeflow, Apache Airflow, Triton Inference Server).
  • Experience using lightweight frontend tools (e.g., Streamlit, Gradio) to build functional, interactive user interfaces for demonstrations.
  • Familiarity with IC missions.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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