Artificial Intelligence / Machine Learning Intern

ABOUT THE INTERNSHIP
Interested in Artificial Intelligence (AI), Machine Learning (ML), and emerging technologies that are shaping the future of manufacturing? Join the Institute for Advanced Learning and Research (IALR) for a summer internship within the Manufacturing Advancement division. This internship places you at the cutting edge of innovation, supporting efforts to integrate AI, ML, and Augmented/Virtual Reality (AR/VR) into programs that strengthen manufacturing capabilities across Southern Virginia. Candidates from STEM, business, manufacturing, and computer science backgrounds are encouraged to apply. This position requires eligibility to access controlled unclassified information (CUI) and export controlled data, and candidates must meet applicable federal requirements, including U.S. person status where required.

WHAT YOU’LL DO

Support the development and integration of AI, ML, and AR/VR technologies into Manufacturing Advancement programs
Collaborate with mentor and team to establish actionable internship goals
Assist with projects that advance innovation and technology adoption in regional manufacturing
Contribute creative ideas and problem-solving approaches to technical challenges
Handle confidential information with professionalism and discretion

WHAT YOU’LL LEARN

Practical experience applying AI, ML, and AR/VR technologies in real-world manufacturing contexts
Insight into innovation, workforce development, and technology acceleration across Southern Virginia
Professional skills in project planning, collaboration, and strategic analysis
Hands-on exposure to emerging technologies that are reshaping modern manufacturing

PROGRAM DETAILS

Duration: 8 weeks
Schedule: Approximately 28 hours per week, up to a maximum of 224 hours
Compensation: $15 per hour / $3,360 total stipend
Location: In-person at IALR (Danville, VA)

OTHER DETAILS

IALR reserves the right to modify and/or cancel the internship program. Modifications may include a shortened timeframe with a pro‑rated adjustment to compensation, alternate assignments, or adjustments to work-site location. Internships are primarily in-person. The IALR Internship Program does not provide local housing or a housing allowance.

ELIGIBILITY REQUIREMENTS

To be considered for the 2026 IALR Internship Program, applicants must meet ONE of the following criteria:
Be a high school graduate (may be graduating Spring 2026) with plans to attend college in Fall 2026
Be a current undergraduate or graduate student
Be a recent college graduate (within the past 12 months)

INTERNSHIP TIMELINE

Application Deadline: March 20, 2026 at 4:00 PM (EST)
Candidate Interviews (Microsoft Teams): April 16–17, 2026
Intern Selection Notifications: April 30, 2026

Please note: IALR internships are highly competitive, and not all applicants will be invited to interview.

MANDATORY PROGRAM DATES

Intern Orientation (required for all interns): June 1, 2026 OR June 8, 2026
Mandatory Internship Luncheon and Final Presentations: July 24, 2026

TIME COMMITMENT REQUIREMENTS

Interns must complete a total of 224 hours by August 10, 2026
The internship is designed as an 8-week program served in consecutive weeks
Interns are permitted ONE unpaid week off during the program
Except for this one week, interns are expected to work continuously

LETTER OF RECOMMENDATION
All applicants must submit ONE letter of recommendation as part of the application process. The letter will be reviewed in addition to application responses. The letter must be received by March 20, 2026.

SUBMISSION OPTIONS
Letters of recommendation can be provided by email or address. The details are below:

Email:
hr@ialr.org

Mail:
ATTN: HR – Internship
Institute for Advanced Learning and Research
150 Slayton Avenue
Danville, VA 24540

LETTER REQUIREMENTS
The letter must include:

The reference’s relationship to the applicant
Length of time the reference has known the applicant
Comments on the applicant’s knowledge, skills, and abilities relevant to the internship
Any concerns that may prevent successful completion of the internship

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