Artificial Intelligence Scientist Internships
Artificial intelligence scientist internships give university students, recent graduates, and early-career switchers hands-on project experience building and evaluating AI systems, mentorship from working AI scientists, and, at many employers, a path toward a full-time offer. Openings are concentrated across Technology & Software, with AMD, ByteDance, and TikTok among the employers posting roles now.
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Showing 5 of 17+ Artificial Intelligence 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.
Artificial Intelligence Scientist Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
Tips for Your Artificial Intelligence Scientist Internship Search
Apply in the fall for summer internships
Large employers, including major research labs and technology companies, open summer internship applications the preceding fall, often before October ends. Smaller companies and co-op programs post closer to their start dates. Check for openings consistently across the full year rather than waiting until spring.
Build a project portfolio before you apply
Hiring teams assessing artificial intelligence scientist candidates expect limited work history and look for documented project work instead. Maintain a public code repository with at least two or three complete projects that name the models, datasets, and frameworks you used. A linked, readable project record is the artifact that moves your application past an initial screen.
Work your campus network and apply directly at the same time
Campus career fairs surface structured internship programs tied specifically 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 campus activity widens the pool you reach and catches openings that never appear at a fair.
Practice your technical screen out loud before applying
Artificial intelligence scientist intern interviews typically include a coding screen covering machine learning fundamentals, probability, and algorithm design, followed by a problem-solving conversation where you explain your reasoning step by step. Practice explaining your thought process aloud as you work through problems, since interviewers weigh how you reason as much as whether you reach the correct answer.
Target structured AI internship programs early
Many large technology companies and research organizations run dedicated AI or machine learning residency and research internship programs designed specifically for candidates new to the field. These programs recruit well ahead of their start dates and fill in the first application wave, so identify the ones that fit your background and apply as soon as they open.
Set your work-type filter before you start
On-site roles are 58% of the artificial intelligence scientist internships listed here. Decide what you can commit to before you begin searching, then filter by location and work type so you spend your time on roles you can actually accept rather than sorting through listings that don't fit your situation.
Artificial Intelligence Scientist Internships: Frequently Asked Questions
How do I get an artificial intelligence scientist internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. A GitHub repository with documented AI or machine learning projects gives recruiters something concrete to assess. Apply directly to companies running smaller cohorts and attend campus career fairs, where recruiters often make faster decisions for students they meet in person.
Can an artificial intelligence 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 is consistent delivery on real project work, available headcount on the team, and understanding the employer's return-offer timeline early in the internship. Position yourself by treating every assignment as if it were a full-time deliverable, without counting on an offer materializing.
When should I apply for artificial intelligence scientist internships?
Earlier than most candidates expect. Large employers, including major tech companies and research labs, recruit summer interns the preceding fall, meaning applications for June start dates often open in August or September. Smaller companies and co-op programs post closer to their actual start dates, so internship openings appear year-round and checking regularly pays off.
Are artificial intelligence scientist internships paid?
Most professional artificial intelligence scientist internships in the United States are paid. Compensation varies by company size, industry, and location. Listings show pay where the employer discloses it, so you can compare directly when the information is available.
What should an artificial intelligence scientist internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools, frameworks, and datasets used, and link directly to the code repository or published analysis so reviewers can verify the work. Add relevant coursework in machine learning, statistics, and programming. Keep the entire resume to one page.
Are there remote artificial intelligence scientist internships?
Yes. Remote and hybrid roles make up 42% of the artificial intelligence scientist internship listings here, with the rest on-site. Remote cohorts tend to fill quickly, so apply early once you've decided what arrangement works for you and filter by work type to see those listings first.
Can international students get artificial intelligence 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.
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