Generative AI Associate Internships
Generative ai associate internships give university students, recent graduates, and early-career switchers hands-on project experience building and evaluating AI systems, mentorship from working machine learning engineers and AI researchers, and, at many employers, a path toward a full-time offer. Openings are concentrated across Technology & Software, with Meta, TikTok, and MITRE among the employers posting roles now.
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Showing 5 of 15+ Generative AI Associate Internships
Research Scientist Intern, Generative AI & 3D Generation (PhD) Responsibilities:
- Research, develop and prototype advanced technologies in the domain of 3D Generation, Computer Vision, Computer Graphics, using ML methods including diffusion models, LLMs, and Agentic RL.
- Deliver research results that are both publishable and have a direct impact on Reality Labs or Meta’s Family of Apps Analyze the efficiency, accuracy, scalability, and stability of currently deployed technologies to identify opportunities for impact through novel research.
- Collaborate with team members throughout the lifetime of a project, from research to prototyping to deploying products.
Minimum Qualifications:
- Currently is in the process of obtaining a PhD degree in computer science, electrical engineering, or related fields
- Experience in one or more areas of Computer Science, such as 3D Generation, Computer Vision, Computer Graphics, Machine Learning, LLMs, and Reinforcement Learning
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as co-authored publications at top-tier conferences
- Experience with modern C++ and/or Python
- Experience with deep learning frameworks such as PyTorch
Preferred Qualifications:
- Intent to return to their degree program after the completion of the internship Interpersonal experience: cross-group and cross-culture collaboration
- Strong communication skills and ability to convey research ideas to a broad audience
- Broad understanding of the full machine vision pipeline from sensors to high-level algorithms
- Mathematical background and understanding of linear algebra, numerical optimization, probabilistic estimation, Understanding of 3D geometry
- Relevant research or software engineering work experiences, including internship, work experience, coding competitions, or widely used contributions in open source repositories
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Research Scientist Intern, Generative AI & 3D Generation (PhD) Responsibilities:
- Research, develop and prototype advanced technologies in the domain of 3D Generation, Computer Vision, Computer Graphics, using ML methods including diffusion models, LLMs, and Agentic RL.
- Deliver research results that are both publishable and have a direct impact on Reality Labs or Meta’s Family of Apps Analyze the efficiency, accuracy, scalability, and stability of currently deployed technologies to identify opportunities for impact through novel research.
- Collaborate with team members throughout the lifetime of a project, from research to prototyping to deploying products.
Minimum Qualifications:
- Currently is in the process of obtaining a PhD degree in computer science, electrical engineering, or related fields
- Experience in one or more areas of Computer Science, such as 3D Generation, Computer Vision, Computer Graphics, Machine Learning, LLMs, and Reinforcement Learning
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as co-authored publications at top-tier conferences
- Experience with modern C++ and/or Python
- Experience with deep learning frameworks such as PyTorch
Preferred Qualifications:
- Intent to return to their degree program after the completion of the internship Interpersonal experience: cross-group and cross-culture collaboration
- Strong communication skills and ability to convey research ideas to a broad audience
- Broad understanding of the full machine vision pipeline from sensors to high-level algorithms
- Mathematical background and understanding of linear algebra, numerical optimization, probabilistic estimation, Understanding of 3D geometry
- Relevant research or software engineering work experiences, including internship, work experience, coding competitions, or widely used contributions in open source repositories
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Generative AI Associate Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
Tips for Your Generative AI Associate Internship Search
Apply earlier than you think necessary
Large technology and AI employers open summer internship applications the preceding fall, sometimes as early as August. Waiting until spring means competing for a much smaller pool of remaining spots. Smaller companies and co-op programs post closer to start dates, so checking listings across the full year keeps you ahead of each wave.
Build a project portfolio before you apply
Hiring teams for generative ai associate internships have limited work history to evaluate, so they look for evidence in your projects. Build two or three documented AI or machine learning projects, host the code in a public repository, and link directly from your resume. A working demo or published notebook gives recruiters something concrete to assess.
Work your campus network alongside direct applications
Campus career fairs surface structured internship programs that recruit specifically from your university, and attending lets you meet recruiters before applications close. Professors and career center staff often know which companies hire from your school before roles appear publicly. Apply directly to smaller companies running their own cohorts at the same time to widen the pool you reach.
Practice your technical screen out loud
Generative ai associate intern interviews typically include a machine learning or coding screen covering model fundamentals, prompt engineering concepts, or data structures, depending on the team's focus. Practice solving problems out loud and explaining your reasoning step by step, since interviewers weigh how you think through a problem as much as whether you reach the right answer.
Target structured generative AI associate programs at larger companies
Several larger technology companies run cohort-based generative AI associate programs designed to train people new to the field, with shared onboarding, mentorship, and rotating assignments. These programs recruit earlier than standard roles and fill quickly. Identify the ones that fit your background and apply in the first application wave rather than waiting to see if spots remain.
Set your work-type filter before you start
On-site roles are 100% of the generative ai associate internships listed here. Decide what you can realistically commit to before you start sorting through openings. Filtering by location and work type upfront means you spend your time on roles you can actually accept, not on applications for positions that don't fit your situation.
Generative AI Associate Internships: Frequently Asked Questions
How do I get a generative ai associate internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited professional experience at the intern level. The concrete artifact that gives recruiters something to assess for generative ai associate candidates is a portfolio of completed AI projects, shared code, or documented experiments. Combine direct applications to companies running smaller cohorts with campus career fairs, where recruiters often move faster for students they meet in person.
Can a generative ai associate 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 associate interns is performance on real project work, available headcount on the team at the end of the internship, and return-offer timing, which some companies decide before the internship ends. Position yourself by delivering visible results without counting on a full-time offer as the outcome.
When should I apply for generative ai associate internships?
Earlier than most candidates expect. Large employers, including major tech and AI companies, recruit summer interns the preceding fall, with application windows opening in August or September. Smaller companies and co-op programs post closer to start dates. Because of this staggered cycle, generative ai associate internship openings appear year-round, so checking listings regularly gives you the full picture.
Are generative ai associate internships paid?
Most professional generative ai associate 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. Unpaid internships exist but are uncommon in technology and AI-adjacent fields. Reviewing individual listings is the most reliable way to understand what a specific role offers.
What should a generative ai associate internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools and frameworks you used and link directly to the work, such as a GitHub repository, a published notebook, or a deployed demo. Add relevant coursework in machine learning, natural language processing, or statistics. Keep the resume to one page.
Are there remote generative ai associate internships?
Yes. Remote and hybrid roles make up 0% of the generative ai associate internship listings here, with the rest on-site. Remote cohorts fill fast because they attract applicants from across the country, so apply early once you find a role that fits. Use the work-type filter to see only remote or hybrid openings without sorting through roles you cannot take.
What is a generative AI associate program internship?
Some larger technology and AI companies run structured associate programs specifically designed for people new to the field, grouping interns into cohorts with shared training, rotating project assignments, and dedicated mentorship. These programs recruit earlier and are more competitive than standard internship postings. If you're targeting one, identify the application window, which often opens months before the program starts, and apply in the first wave.
Can international students get generative ai associate 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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