AI Data Engineer Internships
Ai data engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building and maintaining data pipelines, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated across Food & Beverage, with New York Life, AMD, and Campbell's 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 Data Engineer Internship Market
Who's Hiring
Top Industries Hiring
- Food & Beverage
Tips for Your AI Data Engineer Internship Search
Apply in fall for the following summer
Large employers open summer ai data engineer internship applications as early as August and close them well before spring. If you wait until January, many structured cohorts are already full. Set a reminder at the start of each fall semester and treat the application cycle as a separate project with its own deadlines.
Build a portfolio before you apply
Hiring teams for ai data engineer interns want something to evaluate beyond a transcript. Build two or three documented projects on GitHub that show pipeline construction, data transformation, or SQL work with clear README files. A portfolio with working code and documented outcomes does more work than a resume with coursework listed alone.
Work your campus network and apply directly
Campus career fairs surface structured programs tied to your university, and career center staff often know which employers recruit from your school before roles post publicly. At the same time, apply directly to companies running smaller cohorts that don't recruit on campus. Working both channels widens the pool you reach and increases the chance of early contact with a recruiter.
Practice your technical screen out loud
Ai data engineer intern interviews typically include a technical screen covering SQL, Python, data structures, and sometimes system design for data pipelines. Practice answering problems out loud and explaining your reasoning step by step, because interviewers weigh how you think as much as whether you reach the right answer. Mock screens with a peer or recorded solo sessions both work.
Target structured internship programs early
Many larger companies run formal cohort or rotational programs built to train people new to data engineering, with dedicated mentorship, structured project rotations, and defined conversion reviews. These programs recruit earlier than general internship postings and fill fast, so identify the ones that fit your background and apply in the first wave of each cycle.
Set your work-type filter before you start
On-site roles are 20% of the ai data engineer internships listed here. Decide what you can commit to before you start applying, then filter by location and work type on Migrate Mate so you're not sorting through roles you can't take. Knowing your constraints early keeps your applications focused and your follow-up timeline realistic.
AI Data Engineer Internships: Frequently Asked Questions
How do I get an ai data engineer internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level. For ai data engineer candidates, the concrete artifact that gives recruiters something to assess is a linked GitHub repository showing pipeline builds, SQL or Python work, or a data project with documented outcomes. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai data 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 for ai data engineer interns is consistent performance on real work, team headcount at offer time, and whether you communicate interest in returning early. Position for a return offer by treating the internship like a working audition, but don't count on it as a sure outcome.
When should I apply for ai data engineer internships?
Earlier than most students expect. Large employers recruit summer cohorts the preceding fall, so applications open as early as August or September. Smaller companies and co-op programs post closer to actual start dates, which means openings appear year-round. Checking listings regularly and applying as soon as a role opens gives you the best chance before a cohort fills.
Are ai data engineer internships paid?
Most professional ai data 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 arrangements are uncommon in this field outside of nonprofit or research settings. If pay is not listed, it's reasonable to ask during the recruiter screen.
What should an ai data engineer internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools used and link to the work, for ai data engineer candidates, that means a linked GitHub repository with pipeline code, SQL scripts, or data transformation work with clear documentation. Add relevant coursework, keep the resume to one page, and put technical skills where a recruiter can find them in under ten seconds.
Are there remote ai data engineer internships?
Yes. Remote and hybrid roles make up 80% of the ai data engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they attract applicants from anywhere, so apply early and filter by work type to see them before headcount closes.
Can international students get ai data 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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