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, TMEIC, and Tesla 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 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 33% 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 67% 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.
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