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Validation Engineer Intern Jobs in Reston, VA (NOW HIRING)

2027 Summer Intern Associate

Bethesda, MD ยท Remote

$15.25 - $20.50/hr

  • Medical

  • Retirement

Prepare datasets for analysis and validation * Create dashboards, visualizations, and analytical summaries * Document methodologies and findings for stakeholders Data Engineering Intern * Support ...

2027 Summer Intern Associate

Bethesda, MD ยท On-site +1

$16 - $21.50/hr

  • Medical

  • Retirement

Prepare datasets for analysis and validation * Create dashboards, visualizations, and analytical summaries * Document methodologies and findings for stakeholders Data Engineering Intern * Support ...

Showing results 21-40

Validation Engineer Intern information

See Reston, VA salary details

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How much do validation engineer intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for validation engineer intern in Reston, VA is $20.09, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $21.78 per hour, depending on experience, location, and employer.

What does a validation engineer intern do?

A Validation Engineer Intern assists in ensuring that products, processes, or systems meet specified requirements and function as intended. Their responsibilities often include executing test protocols, collecting and analyzing data, documenting results, and supporting the development of validation documentation. Interns work under the supervision of experienced engineers and may be involved in activities like equipment qualification, process validation, and compliance checks, especially in regulated industries such as pharmaceuticals or manufacturing. This role provides practical experience with industry standards and regulatory guidelines.

What are some typical projects or responsibilities a validation engineer intern can expect during their internship?

As a Validation Engineer Intern, you can expect to participate in tasks such as developing and executing test protocols, collecting and analyzing test data, and documenting results to ensure systems, products, or processes meet regulatory and quality standards. Interns often work closely with senior engineers and cross-functional teams, supporting ongoing validation projects and troubleshooting issues as they arise. This hands-on experience helps you build practical skills in validation techniques, gain exposure to industry regulations, and better understand the workflow of a quality assurance or engineering team.

What are the key skills and qualifications needed to thrive as a validation engineer intern, and why are they important?

To excel as a Validation Engineer Intern, you typically need a background in engineering or a related technical field, along with a solid understanding of validation principles and quality standards. Familiarity with data analysis tools, validation protocols (IQ/OQ/PQ), and industry-specific software such as statistical analysis programs is often required. Strong attention to detail, analytical thinking, and effective communication skills help interns collaborate with teams and document results accurately. These competencies are crucial to ensure products and processes meet regulatory requirements and perform reliably in real-world applications.

What is the difference between Validation Engineer Intern vs Validation Engineer?

AspectValidation Engineer InternValidation Engineer
Required CredentialsTypically pursuing or recently completed a degree in engineering, life sciences, or related fieldsBachelor's or master's degree in engineering, life sciences, or related disciplines; professional certifications are common
Work EnvironmentInternship setting, often in manufacturing, pharmaceutical, or medical device industriesFull-time role in similar industries, with increased responsibilities
Employer & Industry UsageUsed in pharmaceutical, biotech, and medical device companies for training and entry-level rolesFull professional roles in the same industries, focusing on validation processes

The Validation Engineer Intern is an entry-level position designed for students or recent graduates gaining practical experience. In contrast, a Validation Engineer is a full-time professional responsible for executing validation protocols, ensuring compliance, and maintaining quality standards. Interns typically work under supervision, while Validation Engineers operate independently with more complex tasks.

What are the most commonly searched types of Validation Engineer jobs in Reston, VA?

The most popular types of Validation Engineer jobs in Reston, VA are:

What are popular job titles related to Validation Engineer Intern jobs in Reston, VA?

For Validation Engineer Intern jobs in Reston, VA, the most frequently searched job titles are:

What cities near Reston, VA are hiring for Validation Engineer Intern jobs?

Cities near Reston, VA with the most Validation Engineer Intern job openings:

Software Engineering Intern - Artificial Intelligence (Spring 2027)

Cynet Corp

Sterling, VA โ€ข On-site

Internship

Posted 6 days ago


Job description

Cynet Systems Inc. is a proud participant in the Internships VA program. #InVA

Join an award-winning and talented organization that delivers world-class staffing and technology solutions. Working within a dynamic and innovative environment, you will have the opportunity to gain hands-on experience supporting cutting-edge Artificial Intelligence and Machine Learning initiatives while collaborating with experienced technical professionals.

As Cynet continues to expand its IT and technology capabilities, this internship provides a unique opportunity for a motivated individual to apply academic knowledge to real-world software engineering challenges and contribute to the development of AI-driven solutions.

About the Role

The Software Engineering Intern - Artificial Intelligence will support the design, development, testing, and optimization of software solutions focused on Artificial Intelligence and Machine Learning. This role will work closely with senior engineering leadership to assist with AI model development, data processing initiatives, and software development lifecycle activities.

The ideal candidate is passionate about emerging technologies, enjoys solving complex problems, and is eager to gain practical experience working with AI frameworks, cloud technologies, and enterprise-level software solutions.

What will you be doing day to day?
  • Collaborate with senior engineers to design, develop, and implement AI/ML solutions supporting business initiatives.
  • Assist with the creation and optimization of data pipelines supporting large-scale enterprise data processing across various systems.
  • Perform data preprocessing, cleaning, validation, and sanitization to prepare datasets for machine learning applications.
  • Develop, test, and maintain code using Python and/or TypeScript while ensuring quality and reliability.
  • Participate in software development lifecycle (SDLC) activities, including code reviews, unit testing, sprint planning, and Agile/Scrum processes.
  • Research and evaluate emerging Artificial Intelligence technologies, frameworks, and methodologies to improve system capabilities and efficiency.
  • Assist with documenting technical architectures, workflows, processes, and experimental results using Microsoft Office and technical visualization tools.
  • Collaborate with cross-functional teams to support the implementation and enhancement of AI-driven solutions.
  • Perform other duties and responsibilities as assigned.

Requirements

Your Experience
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, Software Engineering, or a related STEM discipline.
  • Coursework, projects, or research experience focused on Artificial Intelligence, Machine Learning, data science, or computational mathematics preferred.
  • Strong academic standing with a desire to apply theoretical knowledge to practical industry applications.
  • Previous internship, academic project, or hands-on experience with software development, data analysis, or AI/ML concepts preferred.
Your Skills
  • Proficiency in Python and/or TypeScript with a strong foundation in software development principles.
  • Familiarity with Artificial Intelligence and Machine Learning concepts, including Generative AI, Agentic AI, RAG, LangChain, LangGraph, and Vertex AI.
  • Basic understanding of databases, including SQL, NoSQL, and vector databases.
  • Exposure to cloud platforms such as Google Cloud Platform (GCP), Microsoft Azure, or Amazon Web Services (AWS).
  • Strong analytical, problem-solving, and communication skills with attention to detail.
  • Ability to collaborate effectively in a team-oriented environment and demonstrate a willingness to learn emerging technologies.

Benefits

About Cynet

Headquartered in the Washington, D.C. metro area, Cynet Systems is an award-winning and one of the fastest growing workforce solutions companies that help our clients realize their talent potential through custom staffing & recruiting solutions. Since its humble inception in 2010, Cynet has had a presence in all 50 States and over 2000 people strong spread across the US. For more information, please visit our website, www.cynetsystems.comย