Machine Learning Internships
Machine learning internships give university students, recent graduates, and early-career switchers hands-on project experience working alongside working engineers and data scientists, and, at many employers, a path toward a full-time offer. Roles are active across Technology & Software, Science & Research, and Investment & Asset Management, with TikTok, ByteDance, and TikTok USDS JV 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.
Machine Learning Internship Market
Who's Hiring
- TikTok29
- ByteDance11
- TikTok USDS JV9
- AMD4
- Tesla3
Top Industries Hiring
- Technology & Software11
- Science & Research3
- Investment & Asset Management2
- Retail1
- Manufacturing1
Tips for Your Machine Learning Internship Search
Apply before the fall recruiting window closes
Large employers in technology, finance, and research open summer internship applications the preceding fall, often filling cohorts before spring semester begins. Smaller companies and co-op programs post closer to start dates, so check listings consistently rather than waiting for a single season.
Build a portfolio before you send a single application
Machine learning intern screens rely on something reviewable. Two or three documented projects with linked GitHub repositories, Jupyter notebooks, or published analyses give recruiters concrete evidence of what you can do with data, models, and code. Coursework in linear algebra, statistics, and deep learning fills in the formal foundation.
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 those campus relationships widens the pool you can realistically reach.
Practice the technical screen out loud before you apply
Machine learning intern interviews typically involve a coding screen on data structures, algorithms, and sometimes applied modeling problems. Practice explaining your reasoning as you work, not just producing a final answer, since interviewers weigh how you think through a problem as heavily as whether you get it right.
Target structured machine learning programs early
Larger companies run rotational and cohort-based internship programs specifically designed to train people new to machine learning and applied AI. These programs recruit early, fill fast, and often have a formal application window. Identify the ones that match your background and apply in the first wave of their recruiting cycle.
Set your work-type filter before you start searching
On-site roles are 71% of the machine learning internships listed here. Decide what you can actually commit to before you start sorting through listings. Filtering by location and work type upfront means you spend time on roles you can take, not ones you'll decline after the screen.
Machine Learning Internships: Frequently Asked Questions
How do I get a machine learning internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. The concrete artifact that gives recruiters something to assess is a portfolio of documented projects with linked code or published notebooks. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a machine learning 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 deliverables, available headcount on the team, and return-offer timing at that company. The practical approach is to treat every project and code review as the interview for the role you want next, without planning your career around an offer that may not come.
When should I apply for machine learning internships?
Earlier than most expect. Large employers, particularly in technology and finance, recruit summer interns the preceding fall, sometimes opening applications in August or September. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Check listings regularly rather than waiting for a single application season.
Are machine learning internships paid?
Most professional machine learning internships in the United States are paid. Compensation varies by company size, industry, and location, and many employers disclose a pay range directly in the listing. Where a range appears, you'll see it in the posting itself.
What should a machine learning internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools and frameworks used and link to the code repository or published analysis so a recruiter can review the actual work. Add relevant coursework in areas like linear algebra, statistics, and deep learning. Keep the resume to one page.
Are there remote machine learning internships?
Yes. Remote and hybrid roles make up 29% of the machine learning internship listings here, with the rest on-site. Remote cohorts fill fast, so apply early and filter by work type to see them before they close.
Can international students get machine learning 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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