Machine Learning Manager Internships
Machine learning manager internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working ML practitioners, and, at many employers, a path toward a full-time offer. Roles are concentrated 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 Manager Internship Market
Who's Hiring
- TikTok27
- ByteDance11
- TikTok USDS JV9
- AMD4
- Amazon3
Top Industries Hiring
- Technology & Software10
- Science & Research3
- Investment & Asset Management2
- Retail1
- Manufacturing1
Tips for Your Machine Learning Manager Internship Search
Apply in fall for the following summer
Large employers open summer machine learning manager internship applications as early as August or September, months before the role starts. Smaller companies and co-op programs post closer to start dates, so check back regularly. Getting your application in during the first wave puts you ahead of candidates who wait until spring.
Build a portfolio before you apply
Hiring teams for machine learning manager interns have limited work history to review, so your project portfolio is the primary signal. Document two or three complete ML projects in a public code repository, explain the problem you solved, the tools and frameworks you used, and the outcome. A linked, readable repository does more than a list of skills on a resume.
Work your campus network and apply directly at the same time
Campus career fairs surface structured cohort programs tied to your university, and professors and career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller programs alongside campus activity widens the pool you reach and catches openings that never appear at university events.
Practice your technical screen out loud before applying
Machine learning manager intern interviews typically include a coding screen on data structures and algorithms, a case or product-sense conversation, or a technical take-home involving model design or evaluation. Practice by talking through your reasoning out loud, not just arriving at an answer silently. Interviewers weigh how you think as much as the final result.
Target structured internship programs early
Larger employers run dedicated rotational and university cohort programs designed to train people new to machine learning management. These programs recruit early, fill fast, and often offer structured mentorship and project rotations that are hard to find in a general internship. Identify the ones that fit your background and apply in the first recruiting wave.
Set your work-type filter before you start
On-site roles are 72% of the machine learning manager internships listed here. Decide what you can actually commit to before you start reviewing listings. Filtering by work type and location at the start saves time and keeps you focused on roles you can take, rather than sorting through openings after you are already interested.
Machine Learning Manager Internships: Frequently Asked Questions
How do I get a machine learning manager internship?
Lead with coursework, personal projects, and a portfolio rather than work history, since hiring teams expect limited experience at the intern level. For machine learning manager candidates, a linked 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 manager internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For machine learning manager interns, what actually drives it is the quality of your work on real projects, the team's headcount at return-offer time, and how early you signal interest. Perform well, ask your manager about the timeline, and plan your job search independently so you are not counting on one outcome.
When should I apply for machine learning manager internships?
Earlier than most candidates expect. Large employers recruit summer interns the preceding fall, meaning applications for June start dates open as early as August or September. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Checking regularly and applying as soon as a role opens gives you the best shot at structured cohorts that fill on a rolling basis.
Are machine learning manager internships paid?
Most professional machine learning manager internships in the United States are paid. Compensation varies by company size, industry, and location, and listings show it where the employer discloses it. Unpaid internships exist but are far less common in technical fields. Review each listing for compensation details before applying.
What should a machine learning manager internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools, frameworks, and methods you used, along with a link to the code repository or published analysis so reviewers can verify the work. Add relevant coursework in machine learning, statistics, and systems. Keep the resume to one page.
Are there remote machine learning manager internships?
Yes. Remote and hybrid roles make up 28% of the machine learning manager internship listings here, with the rest on-site. Remote cohorts fill fast because they attract a national applicant pool, so apply early. Use the work-type filter to see only the format you can commit to before sorting through listings.
Can international students get machine learning manager 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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