Generative AI Analyst Internships
Generative ai analyst internships give university students, recent graduates, and early-career switchers hands-on project experience building and evaluating large language model pipelines, mentorship from working generative ai analysts, and, at many employers, a path toward a full-time offer. Openings cover Technology & Software, with Meta, TikTok, and MITRE among the employers posting roles now.
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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 Analyst Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
Tips for Your Generative AI Analyst Internship Search
Apply for summer roles in the fall
Large employers building generative ai analyst intern cohorts recruit the preceding fall, sometimes before October ends. Waiting until spring means the structured programs at bigger companies are already closed. Smaller companies and co-ops post closer to start dates, so search continuously rather than treating it as a single seasonal push.
Build a portfolio before you apply
Hiring teams for generative ai analyst intern roles expect limited work history and look instead at what you have built. Create two or three documented projects showing prompt engineering, retrieval-augmented generation, or model evaluation work, host the code publicly, and link it everywhere recruiters will look. A visible project is the artifact that moves your application past the initial screen.
Work your campus network alongside direct applications
Campus career fairs surface structured generative ai analyst programs tied to your university, and recruiters there often move faster for students they meet in person. Professors and career center staff frequently know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts at the same time widens the pool you reach beyond what shows up on campus.
Practice the technical screen out loud before you apply
Generative ai analyst intern interviews typically include a technical screen covering machine learning concepts, prompt design reasoning, or a short coding exercise. Practice explaining your thinking out loud, not just arriving at an answer, because interviewers weigh your reasoning process as heavily as the final result. Run through sample problems with a peer who can ask follow-up questions.
Target structured generative AI cohort programs early
Larger technology and research organizations run dedicated generative ai analyst intern pipelines, often branded as AI residency or applied AI cohort programs, built to train people new to the field through mentorship and defined project tracks. These programs recruit early and fill fast. Identify the ones that match your background and submit in the first application wave, not after the deadline approaches.
Set your work-type filter before you start
On-site roles are 100% of the generative ai analyst internships listed here. Decide what you can realistically commit to before you search, then filter by location and work type so you are only reviewing roles you can actually accept. Sorting through on-site listings in cities you cannot relocate to wastes time you could spend applying to the roles that fit.
Generative AI Analyst Internships: Frequently Asked Questions
How do I get a generative ai analyst internship?
Lead with coursework, personal projects, and a portfolio rather than work history, since hiring teams expect limited prior experience at the intern level. For generative ai analyst candidates, the concrete artifact recruiters want to assess is a linked GitHub repository or documented project showing prompt engineering, fine-tuning, or RAG pipeline work. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a generative ai analyst internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For generative ai analyst interns, what actually drives it is consistent performance on real deliverables, available headcount on the team, and acting early when the team signals interest. Position for a return offer by owning a project end-to-end and communicating results clearly, while keeping your full-time search active in parallel.
When should I apply for generative ai analyst internships?
Earlier than most candidates expect. Large tech and finance employers recruit summer generative ai analyst interns the preceding fall, sometimes as early as August or September. Smaller companies, startups, and co-op programs post closer to start dates, so openings appear year-round. Checking listings regularly means you catch both the early structured cohorts and the later rolling openings.
Are generative ai analyst internships paid?
Most professional generative ai analyst 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 roles at professional organizations, and stipend-only arrangements typically appear at nonprofits or early-stage startups.
What should a generative ai analyst internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects with the specific tools used, such as LangChain, OpenAI APIs, vector databases, or fine-tuning frameworks, and link to the code or published outputs directly. Add relevant coursework in machine learning, NLP, or data science. Keep the entire document to one page.
Are there remote generative ai analyst internships?
Yes. Remote and hybrid roles make up 0% of the generative ai analyst internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants nationally, so apply early and filter by work type to see those openings before they close.
What is a generative AI or large language model (LLM) internship program?
Several large technology companies run structured cohort programs specifically for early-career generative AI and LLM analysts, designed to onboard candidates new to applied AI work through rotations, mentorship, and a defined project arc. These programs recruit early, often the preceding fall, and are competitive. Identifying the ones that fit your background and applying in the first wave significantly improves your odds of an interview.
Can international students get generative ai analyst 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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