15 AI Internships for Undergraduates
- Stephen Turban
- 3 hours ago
- 11 min read
Internships in Artificial Intelligence (AI) have become one of the most sought-after opportunities for college students. Internships allow you to build professional skills, gain industry exposure in a rapidly growing field, and develop valuable connections with experts who are shaping the future of technology. They also stand out on a resume, signaling both technical ability and initiative to potential employers.
Given the prestige of certain internships, the rigor of professional experience they demand, and the opportunities to network with researchers and engineers, they’re strongly worth considering if you want to pursue graduate study or full-time roles in AI. To make your search easier, we’ve narrowed down a list of the top Artificial Intelligence internships for undergraduates that meet these benchmarks and offer impactful experience.
If you're looking for more prestigious internships, check out this set of blogs!
Location: Remote! You can work from anywhere in the world.
Application deadline: Deadlines vary depending on the cohort. Spring (January), Summer (May), Fall (September), and Winter (November).
Program dates: Multiple cohorts throughout the year, including Spring, Summer, Fall, and Winter.
Eligibility: Students who can work for 10-20 hours/week for 8-12 weeks. Open to undergraduates and gap year students!
Ladder University Internship Program is a selective, virtual internship program where you work with startups and nonprofits from around the world! The startups range across a variety of industries. As part of their internship, each student will work on a real-world project that is of genuine need to the startup they are working with, and present their work at the end of their internship. Interns work closely with their manager at the startup. Apply now!
Location: Apple Inc., Cupertino, CA (with opportunities in other U.S. offices)
Cost/Stipend: Paid internship; competitive stipend provided based on role
Program Dates: Typically 10–12 weeks during summer (June–August)
Application Deadline: Rolling; usually opens in the fall and closes by early spring
Eligibility: Undergraduate students studying computer science, data science, engineering, or related fields; coursework in AI, machine learning, or statistics strongly preferred
Apple’s Machine Learning and AI Internship places undergraduates directly into its Applied Machine Learning (AIML) teams, where they contribute to projects shaping real-world products used by millions globally. You’ll gain exposure to areas like natural language processing, speech recognition, computer vision, and algorithm design, working alongside engineers and researchers on projects. The program emphasizes both technical rigor and practical application, with opportunities to write production-level code, test models at scale, and present findings to senior staff. You will also benefit from mentorship, networking sessions with Apple professionals, and collaboration across research groups. The internship’s prestige and access to Apple’s state-of-the-art resources make it one of the most competitive and impactful AI internships available to undergraduates.
Location: Allen Institute for Artificial Intelligence, Seattle, WA
Cost/Stipend: Paid (competitive compensation)
Program Dates: Typically 12 weeks; offered year-round, with most positions in the summer
Application Deadline: Summer roles are posted in the fall of the preceding year; rolling basis for other terms
Eligibility: Junior and senior undergraduates, graduate students; international candidates welcome
The Allen Institute for Artificial Intelligence (AI2), founded by Paul Allen, offers research and engineering internships that immerse undergraduates in cutting-edge AI work. Research interns collaborate with scientists on projects spanning natural language processing, machine learning, and open science, often with the chance to co-author publications. Engineering interns take on real-world technical challenges, such as building features for experimentation platforms or implementing state-of-the-art models into AI demos. You will be paired with a mentor and encouraged to contribute directly to ongoing projects. The program combines rigorous technical training with opportunities to publish, present work, and build lasting professional networks in the AI research community.
Location: Multiple sites, including New York, NY; Chicago, IL; Columbus, OH; Wilmington, DE; Plano, TX
Cost/Stipend: Paid (competitive compensation)
Program Dates: Summer internships (approximately 10 weeks)
Application Deadline: November 30 (for summer analyst program in North America)
Eligibility: Undergraduate and graduate students in computer science, engineering, math, statistics, or other quantitative fields
The Data Science & AI Internship Program at JPMorgan Chase offers undergraduates hands-on experience at the intersection of finance and advanced technologies. You will be placed on teams such as the Machine Learning Center of Excellence or the AI Research division, where you’ll work on projects involving natural language processing, fraud detection, trading strategies, and customer experience optimization. Training includes technical upskilling, mentorship from senior professionals, and exposure to agile workflows. You’ll also participate in speaker series and networking events that connect you with leaders across the firm, providing both technical development and professional growth. Successful interns may be considered for full-time roles, making this program a pathway into one of the world’s largest financial institutions.
Location: NASA Centers and Facilities across the U.S.
Cost/Stipend: Paid (stipend varies by project and center)
Program Dates: Summer (June–August); Fall (September–December); Spring (January–April)
Application Deadline: February 27 (Summer); May 22 (Fall)
Eligibility: U.S. citizens; minimum 3.0 GPA; must be enrolled at least half-time in an accredited undergraduate or graduate program (STEM and non-STEM majors considered)
NASA’s Office of STEM Engagement (OSTEM) internships provide undergraduates with the opportunity to work on the agency’s mission areas, including projects in artificial intelligence, robotics, machine learning, and data-driven aerospace research. You will be paired with NASA scientists, engineers, or project managers and contribute to real-world initiatives, from autonomous systems for planetary rovers to AI-supported mission planning. The program emphasizes mentorship, hands-on technical training, and opportunities to present your work to peers and NASA staff. With multiple sessions each year and placements across different centers, this internship offers both prestige and rigorous professional experience, along with networking access to one of the most respected organizations in science and technology.
Location: Microsoft Headquarters, Redmond, WA; Atlanta, GA; and other global offices
Cost/Stipend: Paid (competitive stipend; relocation and visa sponsorship available for eligible candidates)
Program Dates: Summer (typically 12 weeks, June–August)
Application Deadline: Applications open in early fall; deadlines vary by school and location
Eligibility: First- or second-year undergraduate students in computer science, engineering, or related technical fields
The Explore Microsoft Internship is a 12-week summer program that allows undergraduates to rotate across software engineering roles while gaining exposure to artificial intelligence and cloud technologies. You’ll collaborate with professional engineers on projects ranging from machine learning solutions to applications that support Microsoft’s large-scale platforms. Each intern is paired with mentors and participates in workshops, team events, and networking sessions with leaders across the company. Microsoft emphasizes mentorship, rigorous professional training, and opportunities to network with peers globally, making this internship both a technical learning experience and a strong addition to any resume.
Location: Jina AI, Sunnyvale, CA (also Berlin, Beijing, Shenzhen)
Cost/Stipend: Paid (details not specified; includes potential allowances/benefits)
Program Dates: Offered year-round (Summer, Autumn, Winter, Spring sessions; minimum 3 months)
Application Deadline: Rolling, with seasonal sessions posted in advance
Eligibility: Undergraduate, Master’s, and Ph.D. students in AI-related or adjacent fields; non-technical roles also available
The Jina AI Internship Program provides undergraduates with an opportunity to work on cutting-edge multimodal AI projects alongside industry researchers and engineers. You will focus on areas like retrieval-augmented generation, embeddings, or AI-driven product features, with the chance to contribute to published papers or deployed technologies. Each participant is paired with mentors and expected to complete meaningful work that advances real-world applications. Interns are fully integrated into the team, collaborating on research, engineering, and developer-facing initiatives. With its focus on both technical rigor and professional contribution, Jina AI offers undergraduates a chance to develop practical skills while engaging in high-impact AI innovation.
Location: Santa Clara, CA (and other U.S. offices)
Cost/Stipend: Paid (competitive benefits and compensation)
Program Dates: Year-round, minimum 12 weeks (Summer, Fall, Winter, Spring sessions)
Application Deadline: Rolling; applications open for seasonal cohorts
Eligibility: Undergraduate, Master’s, and Ph.D. students in AI, computer science, engineering, physics, and related fields
The NVIDIA Internship Program immerses undergraduates in cutting-edge AI, ML, and computer vision research, as well as hardware and software innovation. Interns are considered full employees, working alongside engineers and researchers on projects that push the boundaries of deep learning, graphics, autonomous vehicles, and accelerated computing. With a 12-week minimum, you’ll gain hands-on experience with next-generation technologies, strong mentorship, and opportunities to publish or present research. Internships are structured as a primary pipeline into new college graduate hiring, making this one of the most competitive and career-launching AI internships in the U.S.
Location: Adobe, San Jose, CA (hybrid model)
Cost/Stipend: Paid ($45–$55 per hour)
Program Dates: May – September (12–16 weeks, full-time)
Application Deadline: Rolling (applications accepted year-round based on openings)
Eligibility: Full-time Bachelor’s, Master’s, or PhD students in computer science, computer engineering, or related fields; expected graduation in the coming year; strong background in ML/AI, statistics, or data analytics
The Adobe AI/ML Internship allows students to apply machine learning and data science techniques to large-scale business problems, from customer churn prediction and real-time media optimization to building recommender systems and lifetime value models. You will collaborate with Adobe’s product and engineering teams, contributing to projects that directly impact customer experience across Adobe’s digital platforms. You’ll gain experience with predictive modeling, deep learning, and optimization techniques, alongside hands-on coding in Python, Java, or C. The hybrid format balances in-office collaboration with remote flexibility, and interns receive competitive pay, mentorship, and exposure to enterprise-scale ML systems.
Location: Multiple hub offices, including San Francisco, Mountain View, Bellevue, Amsterdam, Berlin, Belgrade, and Bangalore.
Cost/Stipend: Paid (competitive compensation, exact stipend varies by role and location)
Program Dates: Typically 12 or 16 weeks (summer and year-round options)
Application Deadline: Varies by role; postings go live several months before program start
Eligibility: Undergraduate and graduate students in computer science or related fields with knowledge of deep learning and strong programming skills (e.g., Python, PyTorch)
At Databricks, interns work on high-visibility projects shaping the future of data and AI, directly impacting Fortune 500 companies using the Databricks Data Intelligence Platform. Interns gain exposure to real-world challenges in data processing, AI model training, and deployment at scale, while contributing code and research that influences product direction. Mentorship is a central component, with interns paired with senior engineers and researchers. Interns also benefit from a collaborative, open culture where contributions are valued at every level, and many interns transition into new grad roles at the company.
Location: Multiple (U.S. sites + global offices in Europe, India, APAC)
Cost/Stipend: Paid (competitive stipend, varies by region and role)
Program Dates: Year-round, with summer as the primary intake (12–16 weeks typical)
Application Deadline: Rolling; regional timelines vary (check AMD’s careers portal for openings)
Eligibility: Undergraduate and graduate students in computer science, electrical/computer engineering, and related fields. Applicants should have strong technical fundamentals.
AMD’s Internship & Co-Op Program places students at the center of innovation in semiconductors and AI, with opportunities to work on projects that impact millions of end users worldwide. As interns, you will collaborate with engineers on chip design, software development, and machine learning applications, gaining practical experience that complements classroom learning. The program offers mentorship, professional development sessions, and networking opportunities across global teams. Participants are also encouraged to join employee resource groups and volunteer initiatives, strengthening both technical and leadership skills. You will receive meaningful, hands-on projects rather than shadow roles, and many transition into full-time positions after graduation.
Location: Multiple U.S. sites (including Redmond, WA; Menlo Park, CA; Bellevue, WA; etc.)
Cost/Stipend: Paid (competitive stipend + benefits, including housing assistance)
Program Dates: Summer and year-round opportunities, depending on role (typically 12 weeks)
Application Deadline: Rolling; check Meta’s careers page for current openings
Eligibility: Undergraduate, graduate, and PhD students in fields such as computer science, engineering, optics, AI, and related disciplines
Meta’s Internship Program gives students the chance to work on high-impact projects in artificial intelligence, machine learning, optics, and next-generation technologies that connect billions globally. You’ll be paired with mentors who guide from day one, while also gaining access to Meta’s broader research and engineering community. The program emphasizes both technical growth and career readiness, offering housing assistance, networking events, and immersive learning opportunities. Participants contribute directly to Meta’s mission of advancing human connection through technology, while developing research or engineering skills that prepare them for long-term roles. Interns leave with not only real-world experience but also lasting professional and personal connections.
Location: Multiple U.S. sites (Austin, TX; New York, NY; others) and global locations
Cost/Stipend: Paid internship, stipends vary by role (competitive stipend + learning benefits)
Program Dates: Typically offered in summer; some roles available year-round
Application Deadline: Rolling; varies by role and location
Eligibility: Undergraduate and graduate students across disciplines such as computer science, engineering, design, data science, and business
IBM’s Internship Program places students on high-impact projects, giving them opportunities to contribute to solutions in areas such as AI, quantum computing, cloud, and data analytics. You’ll work side-by-side with IBM experts while benefiting from mentorship, professional learning sessions, and a culture focused on innovation and inclusion. The program emphasizes skill-building through IBM’s global initiatives, including access to training resources and community projects like Call for Code. Experiences span both technical and non-technical roles, with opportunities to explore design, research, consulting, and product development. Interns gain professional growth, networking connections, and valuable industry exposure in a company at the forefront of technological change.
Location: Multiple U.S. sites (Texas, Massachusetts, North Carolina, and others)
Cost/Stipend: Paid (competitive stipend + benefits)
Program Dates: Primarily summer; co-ops and year-round opportunities also available
Application Deadline: Rolling, varies by role
Eligibility: Undergraduate and graduate students in fields such as computer science, engineering, data science, business, and related disciplines
Dell Technologies offers internships and co-op programs that immerse you in real-world projects shaping the future of technology and business. You’ll gain exposure to areas such as AI, cloud computing, cybersecurity, and product innovation while collaborating with global teams. The program emphasizes mentorship, professional development workshops, and participation in Dell’s inclusive culture, where diverse perspectives are valued. In addition to technical skill-building, students have access to networking opportunities, employee resource groups, and flexible work arrangements. You’ll finish the program with critical experiences, meaningful contributions, and connections that position you strongly for full-time careers at Dell.
Location: Multiple U.S. sites, including Seattle, WA; Cupertino, CA; and Arlington, VA
Cost/Stipend: Paid (competitive stipend + relocation and housing support in some cases)
Program Dates: Primarily summer; opportunities may also be available year-round
Application Deadline: Rolling, varies by role
Eligibility: Undergraduate, master’s, and PhD students; many roles available for rising seniors in computer science, engineering, data science, and related fields
Amazon offers a range of internships that allow you to contribute to large-scale projects across Amazon Web Services (AWS), research science, machine learning, and software engineering. Interns own their projects from start to finish, with the chance to see their work impact millions of customers worldwide. Alongside technical development, you will receive mentorship, professional training, and access to leadership talks that emphasize Amazon’s customer-first culture. AI-focused roles include applied science internships, silicon and AI systems innovation at Annapurna Labs, and automated reasoning projects in AWS. The program is designed to challenge interns with meaningful work while building a strong foundation for future careers at Amazon.
One other option—the Lumiere Research Scholar Program
If you’re interested in pursuing independent research, consider applying to one of the Lumiere Research Scholar Programs, selective online high school programs for students founded with researchers at Harvard and Oxford. Last year, we had over 4,000 students apply for 500 spots in the program! You can find the application form here, check out students’ reviews of the program here and here.
Also check out the Lumiere Research Inclusion Foundation, a non-profit research program for talented, low-income students. Last year, we had 150 students on full need-based financial aid!
Stephen is one of the founders of Lumiere and a Harvard College graduate. He founded Lumiere as a Ph.D. student at Harvard Business School. Lumiere is a selective research program in which students work one-on-one with a mentor to develop an independent research paper.
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