Generative AI Engineer Internships
Generative ai engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building and evaluating large language models, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings cover Technology & Software, with Sony, TikTok, and Peraton among the employers posting roles now.
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See related jobsSony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony’s new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony’s other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/
Position Summary
Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.
Responsibilities
As a research intern, you will investigate and apply novel algorithms related to:
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.
Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.
Required Qualifications
Master’s degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
Excellent communication and presentation skills.
Preferred Qualifications
Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.
Working Location
Location flexible (Tokyo, NYC, remote)
The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .
#LI-AS1
All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.
Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.
We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.
Right to Work (English/Spanish)
E-Verify Participation (English/Spanish)
Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony’s new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony’s other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/
Position Summary
Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.
Responsibilities
As a research intern, you will investigate and apply novel algorithms related to:
The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.
Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.
Required Qualifications
Master’s degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
Excellent communication and presentation skills.
Preferred Qualifications
Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.
Working Location
Location flexible (Tokyo, NYC, remote)
The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .
#LI-AS1
All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.
Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.
We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.
Right to Work (English/Spanish)
E-Verify Participation (English/Spanish)
Generative AI Engineer Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
Tips for Your Generative AI Engineer Internship Search
Apply in the fall for next summer
Large employers open summer generative ai engineer internship applications as early as August or September, months before the role starts. Smaller companies and co-op programs post much closer to their start dates. Check for new openings consistently rather than waiting for a single peak season.
Build a portfolio before you need one
Generative ai engineer intern hiring teams want to see what you can actually build. Complete two or three projects using current tools, such as fine-tuning an open-source language model or building a retrieval-augmented generation pipeline, document them clearly, and publish the code publicly so every application includes something concrete to review.
Work the campus network and apply directly at the same time
Campus fairs surface structured 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 that campus activity widens the pool you reach and keeps you from waiting on a single channel.
Practice your technical screen out loud before you apply
Generative ai engineer intern interviews typically include a coding screen covering data structures, algorithms, and applied machine learning concepts. Practice solving problems while explaining your reasoning aloud, since interviewers weight how you think through a problem as much as whether you reach the correct answer.
Target structured fellowship and research intern programs early
Research labs and large technology companies run cohort-based generative AI internship programs built to train people new to the field. These programs recruit in the fall, fill fast, and are competitive. Identify the ones that match your background and apply in the first wave rather than after the initial deadline has passed.
Set your work-type filter before you start
On-site roles are 33% of the generative ai engineer internships listed here. Decide what you can realistically commit to before you search, then filter by location and work type so you're not sorting through roles you can't take. Migrate Mate's work-type filter lets you narrow the list immediately.
Generative AI Engineer Internships: Frequently Asked Questions
How do I get a generative ai engineer 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, ideally a GitHub repository showing you have built, fine-tuned, or evaluated a generative model end to end. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a generative ai 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 for generative ai engineer interns is performance on real project work, available headcount on the team, and how early the team makes return-offer decisions. Treat a return offer as a possible outcome worth positioning for, not a given, and focus on delivering complete, documented work throughout the internship.
When should I apply for generative ai engineer internships?
Earlier than most candidates expect. Large employers recruit summer interns the preceding fall, often opening applications in August or September. Smaller companies and co-op programs post closer to their actual start dates, so openings appear year-round. Checking regularly and applying as soon as a role matches your profile gives you the best chance before cohorts fill.
Are generative ai engineer internships paid?
Most professional generative ai engineer internships in the United States are paid. Compensation varies by company size, industry, and location, and individual listings show the range where the employer chooses to disclose it. Unpaid internships do exist but are uncommon in technical roles at established companies.
What should a generative ai engineer internship resume include?
Lead with two or three complete, documented projects rather than work history, naming the models, frameworks, and datasets you used and linking to the code or write-up so reviewers can assess it directly. Add relevant coursework in machine learning, NLP, or statistics. Keep the resume to one page and put the linked GitHub or portfolio URL at the top where it's easy to find.
Are there remote generative ai engineer internships?
Yes. Remote and hybrid roles make up 67% of the generative ai engineer internship listings here, with the rest on-site. Remote cohorts tend to fill quickly because they draw candidates from across the country, so apply early and filter by work type to see them before spots close.
What is a generative AI fellowship or research internship?
Several research labs and technology companies run structured summer fellowships specifically for students working on generative AI, large language models, or foundation model research. These programs target early-stage researchers and graduate students new to industry, recruit in the fall for the following summer, and are highly competitive. Identifying the programs that align with your research area and applying in the first wave gives you the strongest shot.
Can international students get generative ai 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.
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