AI Advisor Internships
Ai advisor internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working ai advisors, and, at many employers, a path toward a full-time offer. Demand is concentrated across Energy, Food & Beverage, and Technology & Software, with Cook, Bosch, and Shure among the employers posting roles now.
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Showing 5 of 19+ AI Advisor 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 Advisor Internship Market
Who's Hiring
Top Industries Hiring
- Energy
- Food & Beverage
- Technology & Software
- Marketing & Advertising
Tips for Your AI Advisor Internship Search
Apply earlier than you think necessary
Large employers recruit summer ai advisor interns the preceding fall, so September through November is when structured cohorts fill. Smaller companies and co-op programs post closer to start dates, which means roles appear year-round. Starting your search well before the semester you want to intern keeps you ahead of the competition.
Build a portfolio before you apply
Hiring teams for ai advisor interns expect limited work history, so projects are your proof. Document two or three complete projects with the tools and methods you used, and make them linkable, a repository, published analysis, or case study write-up gives recruiters something concrete to evaluate before they decide whether to screen you.
Work your campus network alongside direct applications
Campus career fairs surface structured ai advisor 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 at the same time widens the pool you reach and increases your chances of landing a first screen.
Practice the ai advisor intern screen out loud
Ai advisor intern interviews typically include a technical or problem-solving component, expect questions on applied ai concepts, case-style reasoning, or working through an ambiguous scenario. Practice explaining your thinking out loud rather than just arriving at an answer, because interviewers weigh how you reason through a problem as much as the final result.
Target structured internship programs at larger employers
Many larger companies run cohort-based or rotational ai advisor programs designed to train people new to the field. These programs offer structured mentorship and clearer conversion pipelines, but they recruit early and fill fast. Identify the programs that match your background, check their application windows in the fall, and apply in the first wave.
Set your work-type filter before you start
On-site roles are 40% of the ai advisor internships listed here. Decide what you can realistically commit to before you start reviewing listings, then filter by location and work type so you're not sorting through roles you can't take. On Migrate Mate, the work-type filter applies instantly and keeps your results relevant from the first search.
AI Advisor Internships: Frequently Asked Questions
How do I get an ai advisor internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level. For ai advisor candidates, a linked portfolio of documented projects showing the tools and methods you used gives recruiters something concrete to assess. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai advisor internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For ai advisor interns, what actually drives it is performance on real project work, available headcount on the team, and acting on return-offer conversations before the internship ends. Position for one by delivering consistently, but don't treat it as a certainty when planning your job search.
When should I apply for ai advisor internships?
Earlier than most candidates expect. Large employers recruit summer ai advisor interns the preceding fall, so September through November is when those cohorts fill. Smaller companies and co-op programs post closer to their actual start dates, which means openings appear year-round. Checking listings regularly rather than waiting for a single season keeps you ahead of most applicants.
Are ai advisor internships paid?
Most professional ai advisor internships in the United States are paid. Compensation varies by company size, industry, and location, so it differs meaningfully from one employer to the next. Where an employer discloses pay, the listing will show it. Unpaid arrangements exist but are uncommon at established companies outside specific nonprofit or academic settings.
What should an ai advisor internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools and frameworks you used and link directly to the work, for ai advisor candidates, that means linked code repositories, published analyses, or case study write-ups reviewers can open. Add relevant coursework, keep the whole document to one page, and cut anything that doesn't show applied ai advisor skills.
Are there remote ai advisor internships?
Yes. Remote and hybrid roles make up 60% of the ai advisor internship listings here, with the rest on-site. Remote cohorts fill fast, so apply early once you decide what works for your situation. Use the work-type filter to surface remote and hybrid roles so you're only reviewing positions you can actually take.
Can international students get ai advisor 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.
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