AI Research Scientist Internships
Ai research scientist internships give university students, recent graduates, and early-career switchers hands-on project experience building and evaluating models, mentorship from working research scientists, and, at many employers, a path toward a full-time offer. Roles are concentrated across Technology & Software, with AMD, ByteDance, and Los Alamos National Laboratory among the employers posting roles now.
Find AI Research Scientist InternshipsOverview
Showing 5 of 15+ AI Research Scientist 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.
AI Research Scientist Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
Tips for Your AI Research Scientist Internship Search
Apply in fall for the following summer
Large research labs and tech employers open ai research scientist intern recruiting as early as September for summer cohorts. Waiting until spring means the structured programs at those employers are already closed. Smaller companies and co-op programs post closer to start dates, so checking regularly through the year keeps you in contention for those roles too.
Build a portfolio before you apply
Hiring teams for ai research scientist interns have limited work history to evaluate, so your portfolio carries the most weight. Two or three documented projects with linked code repositories, experiment logs, or published notebooks showing your modeling choices and results give reviewers something concrete to assess. Name the frameworks and datasets you used so the work speaks for itself.
Work your campus network and apply directly at the same time
Campus career fairs surface structured intern programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles appear publicly. Applying directly to companies running smaller research cohorts alongside campus activity widens the pool you reach and puts you in front of teams that don't attend university events.
Practice your technical screen out loud
AI research scientist intern interviews typically include a technical screen covering machine learning fundamentals, probability, and coding problems on data structures or algorithm design. Practice explaining your reasoning as you work through problems, not just arriving at an answer, since interviewers for research roles weigh how you think through ambiguous problems as much as the final result.
Target structured research intern programs early
Large employers run cohort-based ai research scientist intern programs designed to train people new to applied research, including PhD intern tracks and university research programs. These programs recruit early, fill fast, and offer mentorship and project ownership that ad-hoc intern roles often don't. Identify the ones aligned with your research interests and submit in the first application window.
Set your work-type filter before you start
On-site roles are 60% of the ai research scientist internships listed here. Decide what you can realistically commit to before you start sorting through listings. Filtering by location and work type upfront means you spend time on roles you can actually take rather than discovering a mismatch late in the process.
AI Research Scientist Internships: Frequently Asked Questions
How do I get an ai research scientist 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 public portfolio: linked code repositories, published notebooks, or documented experiments showing your modeling and research process. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai research scientist 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 research scientist interns is performance on real research tasks, whether the team has open headcount at the time your internship ends, and how early in the summer you confirm your interest. Position for one by delivering results, but don't count on it when planning your job search.
When should I apply for ai research scientist internships?
Earlier than most candidates expect. Large tech and research employers open their summer intern recruiting the preceding fall, often with deadlines in October or November. 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 chance before cohorts fill.
Are ai research scientist internships paid?
Most professional ai research scientist 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. Academic lab positions and some nonprofit roles may be unpaid or stipend-based, so read each listing carefully to understand what the employer is offering.
What should an ai research scientist internship resume include?
Lead with projects, not work history: two or three complete, documented projects naming the tools, datasets, and methods used, with links to your code or published work so the reviewer can assess your research process directly. Add relevant coursework such as machine learning, probability, or optimization. Keep everything to one page, and put the project links where a recruiter sees them immediately.
Are there remote ai research scientist internships?
Yes. Remote and hybrid roles make up 40% of the ai research scientist internship listings here, with the rest on-site. Remote cohorts fill fast because they attract applicants from across the country, so apply early and filter by work type to see them before they close.
What is an AI research scientist PhD intern program?
Several large research labs run structured PhD intern programs specifically for doctoral students in machine learning, computer vision, natural language processing, and related fields. These programs embed you in an active research team, target candidates earlier in their PhD, and are highly competitive. They recruit in the fall for the following summer, so identify the programs that fit your research area and apply in the first wave.
Can international students get ai research scientist 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 15 AI Research Scientist Internship Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Research Scientist Internships