AI Product Engineer Internships
Ai product engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building AI-driven products, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated across Technology & Software, Energy, and Food & Beverage, with TikTok, NVIDIA, and Bosch among the employers posting roles now.
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Showing 5 of 48+ AI Product Engineer Internships
At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.
This is a paid 12-week internship opportunity and is a hybrid, in-office role.
Here’s a glimpse into the Internship experience from some of our TRI interns!
The Team
This internship opportunity falls within the Human-Centered AI Division (HCAI). We are an integrated team of ML researchers, behavior scientists, and human-computer interaction experts. At the core of our work, we aim to create purposeful human futures enabled through technology.
The Internship
We are seeking a highly motivated PhD research intern to join our Future Product Innovation team and advance the frontiers of Generative AI for automotive product design. The ideal candidate will have a strong background in Machine Learning or a related field, with a demonstrated interest in developing rigorous quantitative and human-centered methods to evaluate and improve generative AI systems. In this project, the intern will explore models for 3D parametric design generation and reasoning, with a particular focus on evaluating design quality, intent alignment, and decision-making under complex constraints and trade-offs.
Over the course of the project, in addition to Future Product Innovation group meetings, the intern will also participate in all Human-Centered AI division meetings and meetings with stakeholders from relevant Toyota business groups. The intern will be exposed to how interdisciplinary industrial research works and learn from our team as well as the other interns in our division. Furthermore, the intern will engage in strategy discussions about how their research connects to business impact at Toyota.
Responsibilities
- Scope the project to align to the core research efforts;
- Be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors;
- Execute the project using TRI resources; and
- Present the project’s approach and findings in research meetings.
Qualifications
- Currently enrolled in a PhD program in Machine Learning, Computer Science, Mechanical Engineering, or related fields.
- Experience with 3D parametric design, deep generative models, and relevant tools (e.g., build123d, Blender, pythonocc-core).
- Experience developing subjective evaluation methods for generative and predictive models.
- Track record of executing research projects including publications at top venues including but not limited to NeurIPS, EMNLP, ACL, ICML.
- Desire to work on challenging open-ended research projects.
- Demonstrated ability to work autonomously while soliciting feedback.
- Excellent communication and teamwork skills.
Preferred Qualifications
- Experience adapting models to specific tasks through post-training techniques.
- Strong engineering skills, with the ability to independently prototype research solutions.
At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.
This is a paid 12-week internship opportunity and is a hybrid, in-office role.
Here’s a glimpse into the Internship experience from some of our TRI interns!
The Team
This internship opportunity falls within the Human-Centered AI Division (HCAI). We are an integrated team of ML researchers, behavior scientists, and human-computer interaction experts. At the core of our work, we aim to create purposeful human futures enabled through technology.
The Internship
We are seeking a highly motivated PhD research intern to join our Future Product Innovation team and advance the frontiers of Generative AI for automotive product design. The ideal candidate will have a strong background in Machine Learning or a related field, with a demonstrated interest in developing rigorous quantitative and human-centered methods to evaluate and improve generative AI systems. In this project, the intern will explore models for 3D parametric design generation and reasoning, with a particular focus on evaluating design quality, intent alignment, and decision-making under complex constraints and trade-offs.
Over the course of the project, in addition to Future Product Innovation group meetings, the intern will also participate in all Human-Centered AI division meetings and meetings with stakeholders from relevant Toyota business groups. The intern will be exposed to how interdisciplinary industrial research works and learn from our team as well as the other interns in our division. Furthermore, the intern will engage in strategy discussions about how their research connects to business impact at Toyota.
Responsibilities
- Scope the project to align to the core research efforts;
- Be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors;
- Execute the project using TRI resources; and
- Present the project’s approach and findings in research meetings.
Qualifications
- Currently enrolled in a PhD program in Machine Learning, Computer Science, Mechanical Engineering, or related fields.
- Experience with 3D parametric design, deep generative models, and relevant tools (e.g., build123d, Blender, pythonocc-core).
- Experience developing subjective evaluation methods for generative and predictive models.
- Track record of executing research projects including publications at top venues including but not limited to NeurIPS, EMNLP, ACL, ICML.
- Desire to work on challenging open-ended research projects.
- Demonstrated ability to work autonomously while soliciting feedback.
- Excellent communication and teamwork skills.
Preferred Qualifications
- Experience adapting models to specific tasks through post-training techniques.
- Strong engineering skills, with the ability to independently prototype research solutions.
AI Product Engineer Internship Market
Who's Hiring
- TikTok13
- NVIDIA4
- Bosch2
- Cook2
- Stellantis2
Top Industries Hiring
- Technology & Software
- Energy
- Food & Beverage
- Marketing & Advertising
Tips for Your AI Product Engineer Internship Search
Apply months before the start date
Large employers recruit summer ai product engineer interns the preceding fall, with some application windows opening in August. Smaller companies and co-ops post closer to their start dates, so openings appear year-round. Check listings on a regular schedule and apply as soon as a role goes live.
Build a portfolio before you need one
Hiring teams for ai product engineer interns have no work history to evaluate, so a linked GitHub repository, a deployed prototype, or a documented case study gives recruiters something concrete to assess. Complete two or three projects that show you can take an AI-driven product from an idea to a working build.
Work your campus network and apply directly at the same time
Campus career fairs surface structured intern programs tied to your university, and your professors and career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside your campus activity widens the pool you can reach without doubling your effort.
Practice the actual interview format out loud
AI product engineer intern screens typically combine a technical coding or systems design round with a product-sense or case conversation. Practice both formats out loud, explaining your reasoning as you go, because interviewers weigh how you think through a problem as much as the final answer you land on.
Target structured intern programs early
Many larger employers run cohort or rotational programs specifically built to train people new to the AI product engineering field, including associate product manager tracks. These programs recruit early, fill fast, and are competitive. Identify the ones that fit your background and apply in the first wave of their recruiting cycle.
Set your work-type filter before you start
On-site roles are 74% of the ai product engineer internships listed here. Decide what you can actually commit to before you start searching, then filter by location and work type on Migrate Mate so you're only sorting through roles you can take.
AI Product Engineer Internships: Frequently Asked Questions
How do I get an ai product engineer internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level. For ai product engineer candidates, the concrete artifact recruiters want to see is a linked GitHub repository or deployed prototype that shows you can ship something functional. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai product engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For ai product engineer interns, what drives it is delivering on real project milestones, building visible relationships with the team, and understanding the team's headcount situation before your internship ends. Position yourself for a return offer, but keep applying to other roles so you're not counting on one outcome.
When should I apply for ai product engineer internships?
Earlier than most students expect. Large tech and enterprise employers recruit summer interns the preceding fall, with applications opening as early as August or September. Smaller companies and co-op programs post much closer to their start dates, so openings for ai product engineer internships appear year-round. Checking listings regularly and applying as soon as a role opens gives you the best chance.
Are ai product engineer internships paid?
Most professional ai product engineer internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show it where the employer discloses it. Unpaid internships exist but are uncommon in technical product roles at established companies. If pay is not listed, you can ask during the recruiter screen.
What should an ai product engineer internship resume include?
Lead with projects, not work history. Highlight two or three complete, documented projects that show the tools you used and what you built, for ai product engineer candidates, that means linked code repositories, a deployed demo, or a case study walking through your product decisions. Add relevant coursework, keep the whole document to one page, and put your strongest project at the top.
Are there remote ai product engineer internships?
Yes. Remote and hybrid roles make up 26% of the ai product engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants from every location, so apply early and filter by work type to see them before they close.
What is an AI product management (APM) internship?
An associate product manager internship is a structured program designed specifically for people new to the product field, typically students or recent graduates with no prior PM experience. These programs embed you on a product team, pair you with a mentor, and recruit months before the internship starts. They are competitive and fill in the first application wave, so apply as soon as they open.
Can international students get ai product 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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