AI Engineer Internships
Ai engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building and deploying machine learning systems, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated across Technology & Software, Food & Beverage, and Telecommunications, with Tesla, American Express, and TikTok among the employers posting roles now.
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Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
Job Details:
- Locations: Austin, TX, Boxborough, MA, Fort Collins, CO, Longmont, CO, Fishkill, NY, Rochester, NY
- Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
- Spring/Summer Co-op: January 15, 2027 - August 13, 2027
- Summer Internship:
- Semester Students: May 24, 2027 - August 13, 2027
- Quarter Students: June 21, 2027 - September 10, 2027
- Summer/Fall Co-op:
- Semester Students: May 24, 2027 - December 10, 2027
- Quarter Students: June 21, 2027 - December 10, 2027
WHAT YOU WILL BE DOING:
- We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute
- We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
- We may assign you to one or more of the following project work -
- Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection
- Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products
- Fixing and addressing problems with deployed AI to improve user experience
- Support AI software teams with roadmap planning, collateral development, and customer engagements
WHO WE ARE LOOKING FOR:
- You are currently enrolled in a US based University in a Undergraduate's degree program majoring in computer science, computer engineering, data science / analytics, or a related field
- If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –
- Machine learning, data science, computer vision, statistics, and mathematics
- Programming in Python, C/C++
- Relational (SQL) and no-SQL databases
- Machine learning algorithms and frameworks
- Deep learning / AI framework like Pytorch, Tensorflow, Caffe.
- Familiarity with cloud (e.g., AWS, GCP, Azure)
Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.
This role is not eligible for visa sponsorship.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
Job Details:
- Locations: Austin, TX, Boxborough, MA, Fort Collins, CO, Longmont, CO, Fishkill, NY, Rochester, NY
- Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
- Spring/Summer Co-op: January 15, 2027 - August 13, 2027
- Summer Internship:
- Semester Students: May 24, 2027 - August 13, 2027
- Quarter Students: June 21, 2027 - September 10, 2027
- Summer/Fall Co-op:
- Semester Students: May 24, 2027 - December 10, 2027
- Quarter Students: June 21, 2027 - December 10, 2027
WHAT YOU WILL BE DOING:
- We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute
- We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
- We may assign you to one or more of the following project work -
- Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection
- Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products
- Fixing and addressing problems with deployed AI to improve user experience
- Support AI software teams with roadmap planning, collateral development, and customer engagements
WHO WE ARE LOOKING FOR:
- You are currently enrolled in a US based University in a Undergraduate's degree program majoring in computer science, computer engineering, data science / analytics, or a related field
- If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –
- Machine learning, data science, computer vision, statistics, and mathematics
- Programming in Python, C/C++
- Relational (SQL) and no-SQL databases
- Machine learning algorithms and frameworks
- Deep learning / AI framework like Pytorch, Tensorflow, Caffe.
- Familiarity with cloud (e.g., AWS, GCP, Azure)
Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.
This role is not eligible for visa sponsorship.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
AI Engineer Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Food & Beverage
- Telecommunications
- Electronics & Hardware
- Manufacturing
Tips for Your AI Engineer Internship Search
Apply before the fall recruiting window closes
Large tech companies and AI research labs open summer intern recruiting as early as August or September the year before. If you wait until spring, the most competitive structured programs are already full. Set a calendar reminder and submit applications for target employers as soon as postings appear.
Build a GitHub portfolio before you start applying
Recruiters hiring ai engineer interns look for working code, not credentials. Two or three documented projects that show end-to-end model building, data preparation, training, evaluation, and a clear README, give hiring teams something concrete to assess. A linked repository on your resume does more work at this stage than a long skills list.
Work your campus network and apply directly at the same time
Campus career fairs surface structured 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 and catches openings that never make it to on-campus events.
Practice coding screens out loud before your first interview
AI engineering intern screens typically include data structures and algorithms questions, plus machine learning fundamentals. Interviewers weigh how you reason through a problem as much as whether you reach the right answer. Practice explaining your approach aloud while you code, not just solving problems silently, so the habit is natural before the real screen.
Target structured AI internship programs at larger companies
Many large tech employers run cohort-based AI or machine learning internship programs designed specifically to train people new to the field. These programs offer mentorship, defined project tracks, and clearer conversion paths. They recruit early and fill fast, so identify the programs that fit your background and apply in the first recruiting wave.
Set your work-type filter before you start
On-site roles are 53% of the ai engineer internships listed here. Decide what you can actually commit to, on-site, hybrid, or remote, before you start searching on Migrate Mate, then filter by location and work type so you spend time only on roles you can take.
AI Engineer Internships: Frequently Asked Questions
How do I get an ai engineer internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited professional experience at the intern level. A GitHub portfolio with working model implementations, documented experiments, or deployed applications gives recruiters a concrete artifact to assess. Pair direct applications with campus career fairs, where AI engineering recruiters often move faster for students they meet in person.
Can an ai 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 performance on real project work, available headcount on the team, and return-offer timing relative to your graduation date. Position yourself by shipping something meaningful and communicating interest early, without counting on a conversion before you have one.
When should I apply for ai engineer internships?
Earlier than most candidates expect. Large tech and research employers open summer intern recruiting the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post closer to actual start dates, so openings appear year-round. Checking listings consistently and applying as soon as a role opens puts you ahead of candidates who wait.
Are ai engineer internships paid?
Most professional ai engineer internships in the United States are paid. Compensation varies by company size, industry, and location. Listings show pay where the employer chooses to disclose it, so check individual postings for specifics rather than assuming a fixed range.
What should an ai engineer internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools, frameworks, and datasets used, with a linked GitHub repository or live demo so reviewers can assess your work directly. Add relevant coursework in machine learning, deep learning, or data systems, list programming languages and libraries, and keep everything to one page.
Are there remote ai engineer internships?
Yes. Remote and hybrid roles make up 48% of the ai engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they attract candidates across the country, so apply early and filter by work type to see them before they close.
Can international students get ai 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.
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