AI ML Engineer Internships
Ai ml engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building and deploying real models, mentorship from working engineers and scientists, and, at many employers, a path toward a full-time offer. Roles cover Food & Beverage, with AMD, NIKE, and ELUVIO among the employers posting roles now.
Find AI ML Engineer InternshipsOverview
Showing 5 of 15+ AI ML Engineer Internships
Job ID: 9712
Date Posted: October 6, 2026
Space Dynamics Laboratory’s (SDL) Strategic and Military Space (SMS) Division is looking for several exceptional student software engineers for summer internships supporting advanced space and national security programs. Interns will be paid a competitive hourly wage and tasked with varying duties based on current projects, needed support, and phase of development.
Interns will work on professional software engineering assignments based on current projects, mission needs, and development phase. Work may include developing, testing, and integrating software for small satellites, sensor systems, ground systems, and aerospace platforms.
We are especially interested in students who are actively learning and applying artificial intelligence and machine learning, including students who use modern AI tools as part of their software development workflow. We want interns who can combine strong software engineering fundamentals with the ability to use AI effectively to explore ideas, accelerate development, analyze problems, and build better software.
The SMS Division delivers advanced satellite, sensor, and software systems that support defense and Intelligence Community missions. At SDL, you’ll become part of a team dedicated to applying modern technologies to challenging, real-world national security problems.
This position has the potential of continued employment or transition to student/full-time employment requiring security clearance eligibility.
This internship is for the summer of 2027.
SDL internships are designed to bring talented students from across the nation together for unique, high-quality professional opportunities while expanding our candidate pool. Utah State University (USU) students have access to a variety of year-round opportunities with SDL through our Student Employment program. These positions provide USU students with valuable hands-on experience and professional development opportunities that can help them build their skills and resumes. USU students are not eligible for SDL internship positions and are encouraged to explore SDL’s Student Employment opportunities.
Key Responsibilities:
Depending on project needs, interns may work in one or more of the following areas:
- Software design, development, integration, and testing
- AI-assisted software development and engineering workflows
- Machine learning and AI application development
- Embedded systems and flight software
- Ground system and web application development
- Software requirements development and effort estimation
- Object-oriented analysis and design
- Agile software development
- Aerospace systems design and development
- Code analysis, testing, and software quality
- Evaluation and validation of AI-generated software and technical outputs
- Prototyping new approaches using AI, machine learning, or large language models
- Team collaborative tools and development environments
- Must be pursuing a degree in computer science, computer engineering, software engineering, data science, artificial intelligence, applied mathematics, or a related technical field
- Must be a junior, senior, or graduate student
- Minimum 3.0 GPA
- Proficiency in at least one programming language (C++, C#, Python, Java, or TypeScript experience preferred)
- Experience using AI-assisted coding or development tools such as GitHub Copilot, ChatGPT, Claude, Codex, or similar technologies
- Ability to understand, evaluate, debug, test, and improve software regardless of whether it was written manually or developed with AI assistance
- Ability to work effectively both independently and as a member of a technical team
- Strong written and verbal communication skills
- Must be a U.S. citizen with the ability to obtain and maintain a U.S. Government security clearance
- Coursework, research, internships, or personal projects involving AI or machine learning
- Experience with Python and AI/ML frameworks, libraries, or development environments
- Experience building software that uses LLMs, AI APIs, agents, RAG, computer vision, machine learning models, or other AI capabilities
- Experience applying AI tools across the software development lifecycle, including design, coding, testing, debugging, documentation, and code review
- Experience with Git, Jira, CI/CD tools, or other collaborative software development environments
- Demonstrated technical curiosity through personal projects, competitions, research, open-source contributions, or other hands-on development
We encourage students to apply even if they do not meet every preferred qualification. We are looking for strong software engineers who are curious about AI, learn quickly, experiment with new technologies, and understand that effective use of AI complements—not replaces—sound engineering judgment.
SDL delivers advanced multi-domain solutions to protect national security and enable scientific discovery. Our expertise in satellites, sensors and instruments, ground systems and data processing, and autonomous systems plays a critical role in missions supporting NASA and the Department of Defense. Join our team of engineers, scientists, technicians, and business professionals in our seventh decade of delivering mission success.
At SDL, we strive to uphold a culture of respect, collaboration, empowerment, and accountability. We listen with open minds, seek to understand diverse perspectives, and engage in thoughtful dialogue. We work together by sharing knowledge, involving others, and offering support. We trust and empower our team members to take ownership, act with integrity, and be accountable. Above all, we deliver on our commitments to each other and to our mission partners.
The application window for this position is expected to remain open for approximately 7 days; however, it may be shortened or extended depending on business needs and the availability of qualified candidates. We encourage interested candidates to submit their applications promptly.
For questions, assistance, or accommodation with the application process or the DoD SkillBridge program, please contact employment@sdl.usu.edu.
3M8cZAl86l
Job ID: 9712
Date Posted: October 6, 2026
Space Dynamics Laboratory’s (SDL) Strategic and Military Space (SMS) Division is looking for several exceptional student software engineers for summer internships supporting advanced space and national security programs. Interns will be paid a competitive hourly wage and tasked with varying duties based on current projects, needed support, and phase of development.
Interns will work on professional software engineering assignments based on current projects, mission needs, and development phase. Work may include developing, testing, and integrating software for small satellites, sensor systems, ground systems, and aerospace platforms.
We are especially interested in students who are actively learning and applying artificial intelligence and machine learning, including students who use modern AI tools as part of their software development workflow. We want interns who can combine strong software engineering fundamentals with the ability to use AI effectively to explore ideas, accelerate development, analyze problems, and build better software.
The SMS Division delivers advanced satellite, sensor, and software systems that support defense and Intelligence Community missions. At SDL, you’ll become part of a team dedicated to applying modern technologies to challenging, real-world national security problems.
This position has the potential of continued employment or transition to student/full-time employment requiring security clearance eligibility.
This internship is for the summer of 2027.
SDL internships are designed to bring talented students from across the nation together for unique, high-quality professional opportunities while expanding our candidate pool. Utah State University (USU) students have access to a variety of year-round opportunities with SDL through our Student Employment program. These positions provide USU students with valuable hands-on experience and professional development opportunities that can help them build their skills and resumes. USU students are not eligible for SDL internship positions and are encouraged to explore SDL’s Student Employment opportunities.
Key Responsibilities:
Depending on project needs, interns may work in one or more of the following areas:
- Software design, development, integration, and testing
- AI-assisted software development and engineering workflows
- Machine learning and AI application development
- Embedded systems and flight software
- Ground system and web application development
- Software requirements development and effort estimation
- Object-oriented analysis and design
- Agile software development
- Aerospace systems design and development
- Code analysis, testing, and software quality
- Evaluation and validation of AI-generated software and technical outputs
- Prototyping new approaches using AI, machine learning, or large language models
- Team collaborative tools and development environments
- Must be pursuing a degree in computer science, computer engineering, software engineering, data science, artificial intelligence, applied mathematics, or a related technical field
- Must be a junior, senior, or graduate student
- Minimum 3.0 GPA
- Proficiency in at least one programming language (C++, C#, Python, Java, or TypeScript experience preferred)
- Experience using AI-assisted coding or development tools such as GitHub Copilot, ChatGPT, Claude, Codex, or similar technologies
- Ability to understand, evaluate, debug, test, and improve software regardless of whether it was written manually or developed with AI assistance
- Ability to work effectively both independently and as a member of a technical team
- Strong written and verbal communication skills
- Must be a U.S. citizen with the ability to obtain and maintain a U.S. Government security clearance
- Coursework, research, internships, or personal projects involving AI or machine learning
- Experience with Python and AI/ML frameworks, libraries, or development environments
- Experience building software that uses LLMs, AI APIs, agents, RAG, computer vision, machine learning models, or other AI capabilities
- Experience applying AI tools across the software development lifecycle, including design, coding, testing, debugging, documentation, and code review
- Experience with Git, Jira, CI/CD tools, or other collaborative software development environments
- Demonstrated technical curiosity through personal projects, competitions, research, open-source contributions, or other hands-on development
We encourage students to apply even if they do not meet every preferred qualification. We are looking for strong software engineers who are curious about AI, learn quickly, experiment with new technologies, and understand that effective use of AI complements—not replaces—sound engineering judgment.
SDL delivers advanced multi-domain solutions to protect national security and enable scientific discovery. Our expertise in satellites, sensors and instruments, ground systems and data processing, and autonomous systems plays a critical role in missions supporting NASA and the Department of Defense. Join our team of engineers, scientists, technicians, and business professionals in our seventh decade of delivering mission success.
At SDL, we strive to uphold a culture of respect, collaboration, empowerment, and accountability. We listen with open minds, seek to understand diverse perspectives, and engage in thoughtful dialogue. We work together by sharing knowledge, involving others, and offering support. We trust and empower our team members to take ownership, act with integrity, and be accountable. Above all, we deliver on our commitments to each other and to our mission partners.
The application window for this position is expected to remain open for approximately 7 days; however, it may be shortened or extended depending on business needs and the availability of qualified candidates. We encourage interested candidates to submit their applications promptly.
For questions, assistance, or accommodation with the application process or the DoD SkillBridge program, please contact employment@sdl.usu.edu.
3M8cZAl86l
AI ML Engineer Internship Market
Who's Hiring
Top Industries Hiring
- Food & Beverage
Tips for Your AI ML Engineer Internship Search
Apply in the fall for summer roles
Large tech companies, research labs, and financial-sector employers open ai ml engineer intern recruiting in September and October for the following summer. Waiting until spring means competing for a much smaller pool of remaining spots. Smaller companies and co-ops post closer to start dates, so check consistently throughout the year.
Build a portfolio before you apply
Hiring teams for ai ml engineer interns expect limited work history and look at what you have built instead. Create two or three end-to-end projects, model-training pipelines, or published notebooks that demonstrate your grasp of machine learning concepts and Python. Link everything in your resume and profile so recruiters can assess your skills directly.
Work your campus network and apply directly at the same time
Campus career fairs surface structured internship programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles appear publicly. Apply directly to companies running smaller cohorts at the same time, since many ai ml engineer intern openings never get promoted at campus events.
Practice the technical screen out loud
Ai ml engineer intern interviews typically include a coding screen on data structures, algorithms, and machine learning fundamentals, often followed by a take-home or live model-design problem. Practice solving problems aloud and narrating your reasoning, since interviewers weigh how you approach a problem as much as whether you reach the right answer.
Target structured university and rotational programs early
Large technology, research, and data-science employers run cohort-based ai ml engineer intern programs designed to onboard people new to applied ML in a professional setting. These programs recruit in the fall, fill their first-wave spots quickly, and offer more structured mentorship than ad hoc intern roles. Identify the programs that fit your background and apply before the cohort closes.
Set your work-type filter before you start
On-site roles are 29% of the ai ml engineer internships listed here. Decide what you can realistically commit to, whether that is on-site, hybrid, or remote, before you start searching on Migrate Mate, then filter by location and work type so you are only reviewing roles you can actually accept.
AI ML Engineer Internships: Frequently Asked Questions
How do I get an ai ml engineer internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level. The concrete artifact that gives recruiters something to assess is a portfolio of documented ML projects: linked GitHub repositories, notebooks, or deployed demos showing your modeling and coding work. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai ml engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it is consistent performance on real project work, whether the team has open headcount when you finish, and how early you signal interest in returning. Position yourself by delivering on your assigned scope and asking your manager about return-offer timelines, but plan your job search independently so you are not caught without options.
When should I apply for ai ml engineer internships?
Earlier than most students expect. Large tech and research employers open summer intern recruiting the preceding fall, often in September and October, and fill cohorts well before the new year. Smaller companies and co-op programs post closer to their start dates, so openings appear year-round. Check early and apply as soon as a role fits your background rather than waiting for a single application season.
Are ai ml engineer internships paid?
Most professional ai ml engineer internships in the United States are paid. Compensation varies by company size, industry, and location, and listings show it where the employer chooses to disclose it. Academic research internships and some nonprofit programs do run unpaid or stipend-only, so read each listing carefully to confirm the compensation structure before applying.
What should an ai ml engineer internship resume include?
Lead with two or three complete, documented projects rather than work history. For each project, name the tools and frameworks you used and link directly to the code repository, trained model, or published notebook so reviewers can assess your work firsthand. Add relevant coursework in machine learning, statistics, and software engineering. Keep the entire document to one page.
Are there remote ai ml engineer internships?
Yes. Remote and hybrid roles make up 71% of the ai ml engineer internship listings here, with the rest on-site. Remote cohorts fill quickly because they attract candidates nationally, so apply early once you decide remote works for you. Filter by work type to surface those listings and avoid sorting through roles you cannot commit to.
Can international students get ai ml 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 15 AI ML Engineer Internship Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI ML Engineer Internships