AI Infrastructure Engineer Internships
Ai infrastructure engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building and maintaining AI systems, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated across Energy, Food & Beverage, and Technology & Software, with TikTok, Meta, and Elire among the employers posting roles now.
Find InternshipsOverview
Showing 5 of 30+ AI Infrastructure Engineer Internships
Do you want to learn more on how to best defend the United States, our armed forces, and our allies from all forms of air and missile threats?
If you are pursuing a Bachelor's, Master's, or PhD in Computer Science, Mathematics, Engineering, Physics, or a similar major and want to work in an exciting and collaborative environment to solve challenging technical problems, we'd love to have you join our team.
We are seeking an innovative and highly talented intern to join our Information Fusion and Artificial Intelligence Group. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. Accurate, timely, and actionable information derived from a variety of sources provides the warfighter advantages over its adversaries. Our group at APL identifies, develops, and applies efficient and effective algorithms to support critical capabilities for a variety of DoD missions.
As an intern, you will apply math, engineering, computer science, and physics knowledge to implement new distributed algorithms, advanced Artificial Intelligence/Machine Learning techniques, data fusion concepts, etc. in support of a wide variety of US Navy, Missile Defense, and Air Force systems.
As a member of our team...
- You will research, implement, prototype, and analyze algorithms, quantify and document the performance capabilities and limitations of algorithms for specific tasks, and provide metrics of robustness and confidence in specific approaches.
- You will interact with large data sets of various types, formats, and structures for algorithm training and testing, data cleaning, pre-processing, normalization, or manipulation as needed.
- You will create, develop, and debug code to contribute to various multi-user software test beds.
- You will create effective visualizations and documentation to explain complex topics to a variety of audiences.
Qualifications
You meet our minimum qualifications for the job if you...
- Are pursuing a Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Physics, or similar degrees with a minimum 3.0 GPA on a 4.0 scale
- Are fluent in Python or C/C++, with the ability to translate mathematical concepts into well-documented and efficient code
- Have a desire to apply software engineering techniques to complex problems
- Have good written and verbal communication skills
- Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship
You'll go above and beyond our minimum requirements if you...
- Are pursuing a PhD degree in Computer Science, Mathematics, Engineering, Physics, or similar degrees with a minimum 3.0 GPA on a 4.0 scale
- Have basic knowledge in AI/ML or have taken AI/ML courses
- Have basic knowledge in Autonomy, or have taken Autonomy courses
- Have prior experience deploying AI/ML or Autonomy algorithms on edge compute devices
- Have prior experience developing AI/ML algorithms, used Generative AI or LLMs
- Have demonstrated experience in working with version control software like Git
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$22.60 Hourly
Maximum Rate
$47.95 Hourly
Do you want to learn more on how to best defend the United States, our armed forces, and our allies from all forms of air and missile threats?
If you are pursuing a Bachelor's, Master's, or PhD in Computer Science, Mathematics, Engineering, Physics, or a similar major and want to work in an exciting and collaborative environment to solve challenging technical problems, we'd love to have you join our team.
We are seeking an innovative and highly talented intern to join our Information Fusion and Artificial Intelligence Group. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. Accurate, timely, and actionable information derived from a variety of sources provides the warfighter advantages over its adversaries. Our group at APL identifies, develops, and applies efficient and effective algorithms to support critical capabilities for a variety of DoD missions.
As an intern, you will apply math, engineering, computer science, and physics knowledge to implement new distributed algorithms, advanced Artificial Intelligence/Machine Learning techniques, data fusion concepts, etc. in support of a wide variety of US Navy, Missile Defense, and Air Force systems.
As a member of our team...
- You will research, implement, prototype, and analyze algorithms, quantify and document the performance capabilities and limitations of algorithms for specific tasks, and provide metrics of robustness and confidence in specific approaches.
- You will interact with large data sets of various types, formats, and structures for algorithm training and testing, data cleaning, pre-processing, normalization, or manipulation as needed.
- You will create, develop, and debug code to contribute to various multi-user software test beds.
- You will create effective visualizations and documentation to explain complex topics to a variety of audiences.
Qualifications
You meet our minimum qualifications for the job if you...
- Are pursuing a Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Physics, or similar degrees with a minimum 3.0 GPA on a 4.0 scale
- Are fluent in Python or C/C++, with the ability to translate mathematical concepts into well-documented and efficient code
- Have a desire to apply software engineering techniques to complex problems
- Have good written and verbal communication skills
- Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship
You'll go above and beyond our minimum requirements if you...
- Are pursuing a PhD degree in Computer Science, Mathematics, Engineering, Physics, or similar degrees with a minimum 3.0 GPA on a 4.0 scale
- Have basic knowledge in AI/ML or have taken AI/ML courses
- Have basic knowledge in Autonomy, or have taken Autonomy courses
- Have prior experience deploying AI/ML or Autonomy algorithms on edge compute devices
- Have prior experience developing AI/ML algorithms, used Generative AI or LLMs
- Have demonstrated experience in working with version control software like Git
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$22.60 Hourly
Maximum Rate
$47.95 Hourly
AI Infrastructure Engineer Internship Market
Who's Hiring
Top Industries Hiring
- Energy
- Food & Beverage
- Technology & Software
- Marketing & Advertising
Tips for Your AI Infrastructure Engineer Internship Search
Apply in the fall for summer cohorts
Large employers open ai infrastructure engineer intern applications in August and September for the following summer. Smaller companies and co-op programs post on a rolling basis closer to start dates. Starting your search early in the fall means you are in front of structured programs before most candidates have begun looking.
Build a portfolio before you send a single application
Hiring teams for ai infrastructure engineer interns assess what you can build, not how many jobs you have held. Document two or three complete projects, including cloud infrastructure setups, containerized ML pipelines, or automated deployment scripts, and push the code to a public repository so every application includes something reviewable.
Work your campus network and apply directly at the same time
Campus career fairs surface structured intern programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside campus activity widens the pool you reach, since not every employer recruits through university partnerships.
Practice your technical screen out loud before you apply
Ai infrastructure engineer intern interviews typically include a technical screen covering systems design, cloud architecture concepts, or infrastructure scripting, depending on the team. Practice explaining your reasoning aloud as you work through problems, since interviewers weigh how you think through tradeoffs as much as whether you reach the right answer.
Target structured rotational and university programs early
Larger tech and cloud companies run cohort-based intern programs specifically designed to train people new to ai infrastructure engineering. These programs recruit months ahead of start dates and fill in the first application wave. Identify the ones that align with your background and submit before the peak rush hits.
Set your work-type filter before you start searching
On-site roles are 63% of the ai infrastructure engineer internships listed here. Decide what you can realistically commit to before you search, then filter by location and work type on Migrate Mate so you are only sorting through roles you can actually take.
AI Infrastructure Engineer Internships: Frequently Asked Questions
How do I get an ai infrastructure engineer internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. For ai infrastructure engineer candidates, the concrete artifact recruiters want to see is a linked GitHub repository showing infrastructure code, ML pipeline configurations, or cloud deployment work. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai infrastructure engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For ai infrastructure engineer interns, what actually drives it is performance on real infrastructure work, available headcount on the team, and how early you signal interest before the return-offer deadline. Position for one by delivering on your project scope and building relationships with the team, without counting on a specific outcome.
When should I apply for ai infrastructure engineer internships?
Earlier than most expect. Large tech and enterprise employers recruit summer ai infrastructure engineer interns the preceding fall, with application windows opening in August and September. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Checking listings regularly means you catch both waves rather than missing the early cohorts.
Are ai infrastructure engineer internships paid?
Most professional ai infrastructure engineer internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show it where the employer discloses it. Unpaid internships exist but are uncommon in this technical field, particularly at companies large enough to run structured intern programs.
What should an ai infrastructure engineer internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that show the infrastructure tools you used, such as Kubernetes configurations, cloud provider setups, or ML pipeline builds, and link directly to the code or repository so recruiters can assess your work. Add relevant coursework in distributed systems, cloud computing, or machine learning, and keep the whole document to one page.
Are there remote ai infrastructure engineer internships?
Yes. Remote and hybrid roles make up 38% of the ai infrastructure engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants from across the country, so apply early and filter by work type to see them before they close.
Can international students get ai infrastructure engineer internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
See All 30 AI Infrastructure Engineer Internship Jobs
Find roles that match your experience and apply in just a few clicks.
Find Internships