Machine Learning Engineer Internships
Machine learning engineer internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated in Technology & Software, Science & Research, and Investment & Asset Management, with TikTok, ByteDance, and TikTok USDS JV among the employers posting roles now.
Find InternshipsOverview
Showing 4 of 80+ Machine Learning Engineer Internships
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 Engineer 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 Engineer Internship Search
Apply earlier than you think necessary
Large employers at big tech and finance firms open summer cohort applications the preceding fall, often in August or September. Smaller companies and co-op programs post closer to the start date. Set a calendar reminder for late summer and check listings as soon as a new cycle opens so you are not applying to a half-filled cohort.
Build a project portfolio before you apply
Recruiters screening ML intern candidates look for evidence you can write and train models, not a long work history. Publish two or three complete projects on GitHub with clear documentation, noting the dataset, framework, and results. A linked notebook or deployed demo gives interviewers something concrete to discuss before you even reach the technical screen.
Work your campus network alongside direct applications
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. At the same time, apply directly to companies running smaller cohorts that do not recruit on campus. Doing both widens the pool you reach without duplicating effort.
Practice the ML intern technical screen out loud
Most machine learning engineer intern screens include a coding round covering data structures, algorithms, and applied ML problem-solving, sometimes followed by a system design or ML design question. Practice solutions out loud and walk through your reasoning step by step, because interviewers weigh how you think through a problem as much as whether you reach the right answer.
Target structured programs built for new ML practitioners
Large companies run rotational and cohort-based ML internship programs specifically designed to train people new to production machine learning. These programs provide mentorship, defined project rotations, and structured feedback. They recruit early and fill fast, so identify which ones align with your background and apply in the first wave of each cycle.
Set your work-type filter before you start
On-site roles are 74% of the machine learning engineer internships listed here. Decide what you can realistically commit to before you start sorting through listings. Filter by location and work type on Migrate Mate so you are reviewing roles you can actually take, not spending time on postings that require relocation you have not planned for.
Machine Learning Engineer Internships: Frequently Asked Questions
How do I get a machine learning engineer internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level. A GitHub repository with documented ML projects gives recruiters something concrete to assess. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a machine learning 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 performance on real project deliverables, available headcount on the team, and whether you understand the return-offer timeline before your internship ends. Treat the offer as a possible outcome worth working toward, not a certainty to count on.
When should I apply for machine learning engineer internships?
Earlier than most candidates expect. Large tech and finance employers open summer internship applications the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post closer to the actual start date, so new openings appear year-round. Checking listings regularly and applying as soon as a role opens gives you the best shot at each cohort.
Are machine learning engineer internships paid?
Most professional machine learning engineer internships in the U.S. are paid. Compensation varies by company size, industry, and location. Where an employer discloses pay, the listing will show it. Unpaid internships exist but are uncommon at established tech, finance, and research organizations running structured programs.
What should a machine learning engineer internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the frameworks and datasets you used, PyTorch, TensorFlow, scikit-learn, and similar tools, and link directly to the code on GitHub or a published notebook. Add relevant coursework in machine learning, linear algebra, and statistics. Keep the resume to one page.
Are there remote machine learning engineer internships?
Yes. Remote and hybrid roles make up 26% of the machine learning engineer internship listings here, with the rest on-site. Remote cohorts fill quickly because they attract applicants from across the country, so apply early and filter by work type to see them before they close.
What is a machine learning research internship and how is it different from an industry ML internship?
Machine learning research internships, offered at labs inside companies like Google DeepMind, Microsoft Research, and Meta FAIR, focus on publishing novel work alongside a research scientist rather than shipping production models. They recruit early, require a strong publication record or research project history, and are highly competitive. Apply in the first wave if a research role fits your goals.
Can international students get machine learning 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.
See All 80 Machine Learning Engineer Internship Jobs
Find roles that match your experience and apply in just a few clicks.
Find Internships