AI Platform Engineer Internships
Ai platform engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building and deploying ML infrastructure, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Roles are concentrated in Electronics & Hardware, Artificial Intelligence, and Transportation & Logistics, with TikTok, AMD, and Los Alamos National Laboratory 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 Platform Engineer Internship Market
Who's Hiring
Top Industries Hiring
- Electronics & Hardware
- Artificial Intelligence
- Transportation & Logistics
Tips for Your AI Platform Engineer Internship Search
Apply in the fall for summer roles
Large tech employers and cloud platforms open summer internship applications as early as September. Smaller companies and co-op programs post much closer to their start dates. Checking listings in both the fall and the spring means you catch structured cohort programs and rolling openings without missing either cycle.
Build a portfolio before you apply
Hiring teams for ai platform engineer interns want something concrete to assess. Build two or three end-to-end projects covering ML pipeline orchestration, containerized model serving, or infrastructure-as-code deployments, document them clearly in a public GitHub repository, and link that repository in every application.
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 post publicly. Applying directly to companies running smaller cohorts alongside campus activity widens the pool you reach without waiting for an official recruiting event.
Practice your technical screen out loud
Ai platform engineer intern screens typically involve a coding round focused on data structures, algorithms, and systems design questions. Practice solving problems while explaining your reasoning aloud, not just arriving at the answer, because interviewers weigh how you think through infrastructure trade-offs as much as whether your solution compiles.
Target structured engineering internship programs early
Larger employers run cohort-based internship programs designed to train people entering platform and infrastructure engineering for the first time. These programs recruit months ahead of their start dates and fill quickly. Identify which ones align with your background and apply in the first wave rather than waiting for a second posting.
Set your work-type filter before you start
On-site roles are 60% of the ai platform engineer internships listed here. Decide what you can realistically commit to before you start searching so you are not sorting through positions you cannot take. Filter by location and work type on Migrate Mate first to see only the roles that actually fit your situation.
AI Platform Engineer Internships: Frequently Asked Questions
How do I get an ai platform engineer internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. Build a public GitHub portfolio showing end-to-end ML pipeline work, containerized deployments, or infrastructure-as-code projects that recruiters can actually assess. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai platform engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it for ai platform engineer interns is delivering on real project milestones, fitting open headcount on the team, and understanding the return-offer timeline before your internship ends. Position yourself by treating every sprint like a full-time audition without counting on the outcome.
When should I apply for ai platform engineer internships?
Earlier than most students expect. Large tech and cloud employers open summer internship applications the preceding fall, often in September or October. Smaller companies, startups, and co-op programs post much closer to start dates, so openings appear year-round. Checking listings regularly rather than waiting for a single recruiting season means you catch both waves.
Are ai platform engineer internships paid?
Most professional ai platform engineer internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show it where the employer chooses to disclose it. Unpaid internships exist but are uncommon at technology-focused organizations offering structured, project-based roles.
What should an ai platform engineer internship resume include?
Lead with two or three complete, documented projects, listing the tools and frameworks used and linking directly to the GitHub repository or deployed artifact so reviewers can assess your work firsthand. Add relevant coursework in distributed systems, cloud infrastructure, or ML ops. Keep the resume to one page and place education and projects above any limited work history.
Are there remote ai platform engineer internships?
Yes. Remote and hybrid roles make up 40% of the ai platform engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants from a wider pool, so apply early once you find a role that fits and filter by work type to see those listings without sorting through positions you cannot take.
Can international students get ai platform 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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