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 Meta, TikTok, and MITRE among the employers posting roles now.
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The Generative and Agentic AI Engineering Department works across the full range of US Government agencies to develop, engineer, and deploy advanced AI capabilities that address complex mission needs for our sponsors. Our department applies generative AI, agentic AI, and AI/ML research and engineering to operational challenges while researching, prototyping, and transitioning innovative technologies to support critical mission objectives for our sponsors. Our work spans generative AI applications, agentic AI system design, AI model fine-tuning and adaptation, knowledge representation and extraction, AI architectures, MLOps/LLMOps, and human language technology (HLT). The department maintains deep expertise in large language models, agentic AI, autonomous AI workflows and data processing pipelines, computational linguistics, knowledge graph construction, identity resolution and AI/GenAI evaluation.
Job Responsibilities
We are looking for highly-motivated, adaptive, and self-directed candidates to perform research, development, engineering, evaluation and integration in the field of natural language processing, to include computational linguistics, artificial intelligence/machine learning and large language models (LLMs) as applied to machine and computer-assisted translation, speech processing, information extraction, information retrieval, identity matching and associated areas of human language technology.
Basic Qualifications
- Sustained excellence in academic performance
- Must be a student enrolled full-time in an accredited degree-seeking program in Computer Science, Linguistics, Data Science, or a related degree and continue to be enrolled full-time the semester following the internship.
- Experience with one or more general purpose programming languages including: C/C++, Java, MATLAB, Go, Python or similar.
- Experience or coursework in Natural Language Processing and its applications
Preferred Qualifications
- Demonstrated interest in serving the public
- Completion of a significant project leveraging Natural Language Processing
- Experience with one or more machine learning or NLP libraries such as Keras, TensorFlow, Pandas, Scikit-learn, Stanford CoreNLP, spaCy, NLTK, or similar.
- Preference may be given to qualified candidates with active US government security clearance
This requisition requires the candidate to have a minimum of the following clearance(s):
NoneThis requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
NoneSalary compensation range and midpoint:
$46,500 - $58,000 - $69,500 AnnualWork Location Type:
Onsite
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.
Benefits information may be found here.
Copyright © 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.The Generative and Agentic AI Engineering Department works across the full range of US Government agencies to develop, engineer, and deploy advanced AI capabilities that address complex mission needs for our sponsors. Our department applies generative AI, agentic AI, and AI/ML research and engineering to operational challenges while researching, prototyping, and transitioning innovative technologies to support critical mission objectives for our sponsors. Our work spans generative AI applications, agentic AI system design, AI model fine-tuning and adaptation, knowledge representation and extraction, AI architectures, MLOps/LLMOps, and human language technology (HLT). The department maintains deep expertise in large language models, agentic AI, autonomous AI workflows and data processing pipelines, computational linguistics, knowledge graph construction, identity resolution and AI/GenAI evaluation.
Job Responsibilities
We are looking for highly-motivated, adaptive, and self-directed candidates to perform research, development, engineering, evaluation and integration in the field of natural language processing, to include computational linguistics, artificial intelligence/machine learning and large language models (LLMs) as applied to machine and computer-assisted translation, speech processing, information extraction, information retrieval, identity matching and associated areas of human language technology.
Basic Qualifications
- Sustained excellence in academic performance
- Must be a student enrolled full-time in an accredited degree-seeking program in Computer Science, Linguistics, Data Science, or a related degree and continue to be enrolled full-time the semester following the internship.
- Experience with one or more general purpose programming languages including: C/C++, Java, MATLAB, Go, Python or similar.
- Experience or coursework in Natural Language Processing and its applications
Preferred Qualifications
- Demonstrated interest in serving the public
- Completion of a significant project leveraging Natural Language Processing
- Experience with one or more machine learning or NLP libraries such as Keras, TensorFlow, Pandas, Scikit-learn, Stanford CoreNLP, spaCy, NLTK, or similar.
- Preference may be given to qualified candidates with active US government security clearance
This requisition requires the candidate to have a minimum of the following clearance(s):
NoneThis requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
NoneSalary compensation range and midpoint:
$46,500 - $58,000 - $69,500 AnnualWork Location Type:
Onsite
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.
Benefits information may be found here.
Copyright © 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.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 100% 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 0% 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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