AI/ML & Computer Science Intern

Introduction

Internship Details

Company

SecurePro Inc.

Employment category

Internship

Work location

Remote within Virginia or another U.S. state approved by SecurePro in writing before the internship begins. The approved state must be established before the start date and may not change without prior written approval. SecurePro may limit the states it can support based on payroll, tax, labor-law, customer, security, or operational requirements.

Duration

Defined and limited term, with exact dates to be established in the individual internship agreement

Schedule

Part-time or flexible schedule based on the approved internship plan, the participant’s availability, and the needs of the program

Reporting relationship

Assigned SecurePro supervisor or mentor

Academic credit

May be available when approved by the participant’s educational institution; SecurePro does not guarantee academic credit

Future employment

Participation does not guarantee or promise future employment

Screening and security

Any background-screening, customer-access, or security requirements would be communicated separately if they become applicable to a specific assignment. No clearance is required to apply, and no clearance, cleared work, or government-contract assignment is offered or implied.

Program Objectives

The internship is designed to help the participant learn how to:

• Translate a defined problem into technical requirements
• Understand the basic AI/ML development lifecycle
• Prepare, clean, organize, and evaluate data
• Develop and test small software or automation components
• Use source control and collaborative development practices
• Understand responsible and secure use of AI technologies
• Evaluate model or application behavior using defined criteria
• Document technical decisions, assumptions, testing, and limitations
• Recognize privacy, security, data-quality, bias, and reliability considerations
• Communicate technical findings to both technical and nontechnical audiences

Guided Learning Activities

Under supervision, in non-production environments, and with work reviewed before it is used, the intern may:

• Assist with exploratory data analysis and data preparation
• Create small Python scripts, utilities, or automation prototypes
• Support supervised AI/ML experiments using approved datasets
• Assist with prompt evaluation, model-output review, or retrieval-based prototypes
• Support development of internal dashboards, APIs, or software features
• Write or update unit tests and test documentation
• Review software behavior and document defects or observations
• Support technical research and comparison of approved tools or methods
• Participate in code reviews and technical design discussions
• Use Git or another approved source-control system
• Prepare diagrams, technical notes, user instructions, and project documentation
• Learn secure-development, privacy, and responsible-AI practices
• Complete a defined educational project or final technical presentation

Required Qualifications

• Current or recent study in computer science, software engineering, data science, artificial intelligence, machine learning, cybersecurity, information systems, mathematics, statistics, or a related discipline
• Foundational programming ability in at least one language, such as Python, JavaScript, Java, C#, or C++
• Willingness to learn and to work under technical direction
• Responsible handling of code, data, and credentials, including following SecurePro security and privacy direction
• Clear written communication for documenting work, testing, and findings
• Legal authorization to work in the United States for the duration of the internship

Preferred Qualifications

Preferred qualifications may include:

• Familiarity with Git or other collaborative development practices
• Familiarity with data structures, algorithms, databases, APIs, or software-testing concepts
• Interest in AI/ML, automation, secure software development, analytics, or responsible AI
• Strong problem-solving and technical-documentation skills
• Ability to learn independently while following technical direction and security requirements
• Personal, academic, or portfolio projects

Learning Opportunities

Learning opportunities the program is designed to provide:

• Exposure to practical AI/ML and software-development workflows
• Experience with supervised coding, testing, documentation, and data analysis
• Introduction to secure and responsible development practices
• Mentoring and structured technical feedback
• A final project or presentation documenting learning outcomes

Learning and Supervision

The intern will:

• Be assigned a technical supervisor or mentor
• Work from documented learning objectives
• Receive guided technical assignments
• Participate in code, design, or project reviews appropriate to experience
• Receive scheduled feedback
• Work only with approved systems, tools, repositories, and data
• Work on learning assignments that supplement, and do not displace, the work of regular SecurePro employees
• Complete a limited-duration learning project

Program Limits

The internship carries no independent technical or business authority. The intern will not:

• Deploy to production or hold production credentials
• Own, administer, or make changes to live customer systems
• Approve a security, architectural, privacy, or legal decision
• Access classified information, CUI, export-controlled data, customer credentials, or production systems, unless separately approved and legally authorized
• Use real customer data without authorization
• Introduce unapproved tools or models
• Place secrets, credentials, proprietary data, or personal information into public AI services
• Represent SecurePro or commit SecurePro to anything without written authorization

How to Express Interest

• Résumé
• Why the applicant is interested in SecurePro
• What the applicant hopes to learn
• Which internship area matches the applicant’s interests
• General availability and desired duration
• Current educational or training status
• Whether academic credit is available or required
• The U.S. state the applicant would work from, so the location approval described above can be confirmed