AI ML Engineering Internships
Ai ml engineering internships give university students, recent graduates, and early-career switchers hands-on project experience building and deploying machine learning models, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Food & Beverage lead in internship volume, with AMD, Tesla, and Truveta 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 Engineering Internship Market
Who's Hiring
Top Industries Hiring
- Food & Beverage
Tips for Your AI ML Engineering Internship Search
Apply in the fall for summer cohorts
Large technology companies and enterprise employers open summer ai ml engineering internship recruiting as early as August or September the year before. Smaller companies and co-op programs post much closer to start dates. Checking listings consistently through fall and winter means you reach both recruiting cycles without missing early deadlines.
Build a public portfolio before you apply
For ai ml engineering internships, a public GitHub repository with two or three documented projects carries more weight than a long list of coursework. Each project should show the dataset, the model or pipeline you built, the tools used, and the outcome. Recruiters screen candidates by clicking the link, so make sure every repository has a clear README.
Work campus channels and direct applications together
Campus career fairs surface structured internship programs explicitly tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Apply directly to smaller companies running their own cohorts at the same time, combining both channels reaches programs you'd miss by relying on either one alone.
Practice your technical screen out loud
Ai ml engineering internship interviews typically include a coding screen covering data structures, algorithms, and ML fundamentals, followed by questions where you explain your reasoning on a modeling problem. Practice solving problems while narrating your approach, since interviewers weigh how you think through a problem as much as whether you reach the correct answer.
Target structured ML internship programs early
Many larger technology and research employers run dedicated machine learning or AI internship cohorts designed to train people new to industry. These programs recruit early, fill fast, and offer structured mentorship and project rotations that are harder to replicate in an ad-hoc internship. Identify the programs that match your interests and submit in the first application window.
Set your work-type filter before you start
On-site roles are 14% of the ai ml engineering internships listed here. Decide what you can realistically commit to before you start applying so you're not sorting through roles in cities you can't relocate to or remote positions your program doesn't allow. Filter by location and work type on Migrate Mate to see only the listings that fit your situation.
AI ML Engineering Internships: Frequently Asked Questions
How do I get an ai ml engineering internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level. A public GitHub repository with documented ML projects, model experiments, or data pipelines gives recruiters something concrete to assess. Apply directly to companies posting roles and attend campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai ml engineering 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 ml engineering interns is performance on real project deliverables, team headcount at the end of the summer, and how early return-offer decisions happen at that company. Position for one by owning your project outcomes, but keep applying to full-time roles in parallel so you're not counting on it.
When should I apply for ai ml engineering internships?
Earlier than most candidates expect. Large tech and enterprise employers open summer internship recruiting the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post much closer to the start date, so openings appear year-round. Checking listings regularly and setting alerts means you won't miss an early window at a program you want.
Are ai ml engineering internships paid?
Most professional ai ml engineering internships in the United States are paid. Compensation varies by company size, industry, and location, larger tech employers and financial services firms typically pay more than startups or nonprofits. Where an employer discloses a range, it appears in the listing, so you can compare before you apply.
What should an ai ml engineering internship resume include?
Lead with two or three complete, documented projects rather than work history. For each project, name the tools and frameworks used, PyTorch, TensorFlow, scikit-learn, SQL, and similar, and link to the code repository or published output so a recruiter can verify the work. Add relevant coursework in machine learning, statistics, or systems. Keep it to one page.
Are there remote ai ml engineering internships?
Yes. Remote and hybrid roles make up 86% of the ai ml engineering internship listings here, with the rest on-site. Remote cohorts fill fast because they attract applicants from every location, so apply early once you find a role that fits. Use the work-type filter to see only remote or hybrid listings without sorting through every posting.
What is an MLOps or research internship in ai ml engineering?
Some larger technology and research organizations run dedicated machine learning research or MLOps internship programs that focus specifically on production model deployment, infrastructure, or foundational research rather than applied product work. These programs target students earlier in their studies, recruit in the fall for the following summer, and are highly competitive, identify the ones aligned with your interests and apply in the first recruiting wave.
Can international students get ai ml engineering 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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