15 AI Internships for Undergraduates in Idaho
If you’re interested in artificial intelligence, internships become even more valuable because the field is highly practical and constantly evolving. Working with real datasets, models, and applications helps you understand how AI is used in practice across industries such as healthcare, manufacturing, and software development. Idaho offers a growing ecosystem of opportunities, particularly in research institutions, tech companies, and innovation-driven organizations.
You can check out other AI internships available for undergraduates in our blog here!
Why should I do an artificial intelligence internship in college?
An artificial intelligence internship allows you to bridge the gap between theory and application. You gain hands-on experience with tools and frameworks such as Python, machine learning libraries, and cloud platforms, while learning how to work with real-world data and constraints. These experiences help you understand the full lifecycle of AI systems, from data collection and preprocessing to model development and evaluation.
Beyond technical skills, AI internships help you build problem-solving ability and adaptability, as you often work on complex, open-ended challenges. You also gain exposure to industry workflows, collaborate with engineers and data scientists, and receive mentorship that can shape your career direction.
To make your search easier, we’ve curated a list of 15 AI internships for undergraduates in Idaho, focusing on programs that provide meaningful experience, mentorship, and exposure to real-world AI applications.
1. Micron Technology – Computer Engineer Intern (AI/ML/LLM)
Location: Boise, ID
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Highly competitive; large cohort size
Dates: Summer; 12 weeks between May and August
Application Deadline: Rolling basis
Eligibility: Undergraduate Students: Must be pursuing a Bachelor’s in Computer Engineering or Computer Science (with circuits/VLSI coursework) and graduating no earlier than September 1
In this role, you develop and improve electronic design automation (EDA) tools that support the creation of advanced memory and storage products. You apply machine learning and LLM-based workflows to optimize design processes, enhance predictive analytics, and improve overall efficiency in chip development. A key highlight of this internship is its deep integration of AI with hardware engineering. You gain hands-on experience building intelligent automation systems, working with Python and AI/ML frameworks, and exploring agentic workflows for design assistance and documentation. You also collaborate with cross-functional engineering teams, gaining insight into how AI is used at scale in the semiconductor industry.
2. Ladder University Internship Program
Location: Remote (work from anywhere)
Cost/Stipend: Cost varies depending on the program type; financial aid is available / No stipend
Acceptance rate/cohort size: 10–25%; 70–100 students per session
Dates: Multiple cohorts (Spring, Summer, Fall, Winter)
Application Deadline: Varies by cohort (January, May, September, November cycles)
Eligibility: Undergraduate and gap year students (10–20 hours/week for 8–12 weeks)
The Ladder University Internship Program is a selective, project-based internship that allows you to work with startups and nonprofits across the globe. You are matched with a team and assigned to a real-world project that directly contributes to the organization’s goals, giving you hands-on exposure to how early-stage companies operate. These projects often involve areas like data analysis, product development, and strategy, making the experience especially relevant if you are interested in applying AI or technical skills in practical settings. A key highlight of the program is its emphasis on mentorship and tangible outcomes. You work closely with a startup manager, receive structured guidance, and develop deliverables that you present at the end of the internship.
3. HP – Workforce Services and Solutions Technical Internship
Location: Boise, ID
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Highly Selective; approximately 600 interns globally
Dates: May – August (Standard 10-to-12-week summer duration)
Application Deadline: Generally, early February
Eligibility: Undergraduates (typically in their 2nd or 3rd year) or 1st-year Master's students pursuing a degree in Computer Science, Software Engineering, Data Science, or a related technical field
The Workforce Services and Solutions Technical Internship at HP offers a well-rounded experience in developing technology solutions that improve business productivity and the employee experience. As part of HP’s global Workforce Solutions division, you contribute to projects involving software, systems, and AI-enabled tools that help organizations manage devices, workflows, and enterprise operations. This gives you exposure to how AI and data-driven systems are integrated into large-scale, real-world products. A key highlight of this internship is its blend of technical work and business impact. You work on meaningful projects, ranging from data analysis and modeling to software and systems development, while collaborating with cross-functional teams.
4. St. Luke’s Health System – AI & Automation Internship
Location: Boise, ID (onsite)
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Competitive; ~2,000 students annually
Dates: Typically Summer (June – August); however, start and end dates are often flexible based on the academic semester
Application Deadline: Varies by hiring cycle; typically applications open in late winter/early spring (February/March) for summer starts
Eligibility: Undergraduate or graduate students in CS or related fields; 3.0+ GPA preferred
In this role, you contribute to developing and deploying AI-powered tools, including Copilot agents, that support clinicians, staff, and operational workflows. You gain exposure to how AI is responsibly designed, tested, and implemented in a regulated, high-impact environment like healthcare. A key highlight of this internship is its end-to-end exposure to AI solution development. You participate in everything from gathering requirements and prototyping ideas to piloting and refining AI tools based on performance and user feedback. You also collaborate with solution architects, strategy leaders, and cross-functional teams, building both technical and communication skills.
5. Micron Technology – SSD AI & Telemetry Internship
Location: Boise, ID
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Highly selective; small focused group
Dates: Summer; typically mid-May – late August
Application Deadline: Rolling; varies by role
Eligibility: Undergraduate students (Computer Science, Computer Engineering, Data Science, or related fields); maintain student status through the duration of the internship
In this role, you transform raw SSD telemetry and debug data into meaningful insights by building data pipelines, developing machine learning models, and creating visualization tools. This gives you exposure to how AI is used to optimize hardware performance and reliability in real-world engineering environments. A key highlight of this internship is its strong focus on end-to-end data and AI workflows. You design automated data ingestion pipelines, analyze large datasets using Python libraries like Pandas and NumPy, and collaborate with engineering teams to integrate AI-driven solutions into existing systems. You also build dashboards to communicate insights effectively, strengthening both your technical and data storytelling skills.
6. Whiterabbit.ai – Research Scientist Intern (AI / Computer Vision)
Location: Remote
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Highly selective; small cohort sizes
Dates: Summer; typically 10–12 weeks starting in May or June
Application Deadline: Open until filled
Eligibility: Undergraduate students (preferably in CS or Math) with experience in Python, deep learning frameworks (PyTorch/TensorFlow), and a strong research background
In this role, you help design and improve deep learning models used for early cancer detection, working with large-scale medical imaging datasets. You collaborate with engineers, researchers, and healthcare professionals to develop algorithms that enhance diagnostic accuracy and patient outcomes. A key highlight of this internship is its strong research focus and access to high-performance computing resources. You work on developing scalable models, exploring computer vision techniques, and engaging with real-world clinical challenges. The role may also involve reviewing research literature and contributing to publications in top-tier AI conferences.
7. DataAnnotation – Android Developer (AI Training & Code Review)
Location: Remote
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Highly Selective; non-cohort-based
Dates: Flexible (ongoing opportunities)
Application Deadline: Ongoing
Eligibility: Undergraduate students or individuals with strong programming experience (Kotlin/Android)
In this internship, you work on coding tasks that help train and evaluate AI models, focusing on writing, reviewing, and refining code outputs. This gives you insight into how AI systems are built and optimized, particularly in software engineering workflows. A key highlight of this opportunity is its combination of flexibility and technical depth. You can set your own schedule while working on diverse programming challenges that strengthen your skills in Kotlin and other languages. The role emphasizes code quality, debugging, and critical evaluation, helping you develop strong engineering judgment.
8. J.R. Simplot – AI Internships
Location: Boise, Idaho
Stipend: Paid hourly wage, rate not disclosed
Acceptance rate/cohort size: Highly competitive; cohort size varies annually
Dates: 10–12 weeks during the summer
Application Deadline: Rolling basis typically concluding in early spring
Eligibility: Pursuing a bachelor's degree in computer science, data science, or artificial intelligence at a four-year college or university; maintaining a strong academic record with a minimum 3.0 grade point average; demonstrating foundational knowledge in machine learning algorithms and statistical programming; legally authorized to work in the U.S.
The program focuses heavily on leveraging artificial intelligence, machine learning, and advanced statistics to solve complex agricultural and operational challenges. As an intern, you will train predictive models for agronomic use cases, engineer data features, and develop interactive visualizations to share insights with stakeholders. A unique feature of the program is its direct "farm-to-table" integration, giving you the chance to deploy scalable tools that impact global food production. Ultimately, you will sharpen your Python programming, data preparation techniques, and cross-functional communication skills.
9. Idaho National Laboratory – AI-Assisted Modeling & Simulation Internship
Location: Idaho Falls, ID
Stipend: ~$54,530 – $80,800 (annualized equivalent)
Acceptance rate/cohort size: Highly selective; ~500–600 interns annually across the laboratory
Dates: 10–16 weeks (Summer: May–August; Fall: August–December; Spring: January–May)
Application Deadline: Rolling basis
Eligibility: Undergraduates enrolled full-time in an accredited U.S. university; minimum 3.0 cumulative GPA; ability to pass a background check; proficiency in Python, C++, or specialized modeling frameworks (e.g., MOOSE)
In this role, you contribute to the development of the MOOSE Ranger AI tool, an intelligent assistant designed to support complex simulation workflows. You apply techniques such as retrieval-augmented generation (RAG) and machine learning to enhance modeling, design, and research processes in energy systems. A key highlight of this internship is its strong research and technical focus within a national laboratory setting. You collaborate with computational scientists, gain exposure to high-performance simulation frameworks, and work on projects that directly impact energy innovation and national research initiatives. The role also offers potential academic credit and flexible scheduling.
10. Idaho National Laboratory – Undergraduate Research Assistant Internship (Science & Technology)
Location: Idaho Falls, ID
Stipend: Paid, amount not specified
Acceptance rate/cohort size: Highly selective; ~700 students
Dates: 10–16 weeks (flexible based on academic schedule)
Application Deadline: May 20
Eligibility: Undergraduate students in STEM majors; minimum 3.0 GPA; authorized to work in the U.S.
The Undergraduate Research Assistant Internship at Idaho National Laboratory (INL) offers a comprehensive research experience across a wide range of STEM fields, including artificial intelligence, machine learning, cybersecurity, and advanced engineering. In this program, you work alongside scientists and engineers on mission-driven projects related to energy systems, national security, and emerging technologies. Depending on your placement, you may contribute to AI-focused research involving data analysis, modeling, or intelligent systems. A key highlight of this internship is its flexibility and breadth of opportunities. You are matched to projects based on your academic background and interests, allowing you to explore areas like AI, robotics, or data science within a national laboratory setting.
11. Boise State University – Cloud Computing Security and Privacy REU
Location: Boise State University, Boise, ID
Stipend: $6,300 plus $130 per week for meals, up to $700 in travel funds, and fully-funded housing
Acceptance rate/cohort size: Highly selective; 10 students
Dates: May 28 to July 25 annually for a 9-week period
Application Deadline: March 21
Eligibility: Currently enrolled as an undergraduate student with at least one semester remaining in the program; studying computer science or a related field at a U.S. college; maintaining U.S. citizenship or permanent residency
In this internship, you will explore critical topics like network security, applied cryptography, and AI-driven cybersecurity. As part of the program, you will collaborate on interdisciplinary research teams, attend professional seminars, design scientific posters, and present your findings at an undergraduate research conference. This NSF-funded initiative prioritizes recruiting underrepresented students and provides ongoing faculty mentorship for publishing papers long after the summer concludes. Through these hands-on experiences, you will build robust technical research skills, understand ethical data practices, and master complex cloud defense mechanisms.
12. IBM – Internship Program (AI, Data, Cloud, and Technology Roles)
Location: Boise, ID
Stipend: Paid hourly, rate not disclosed
Acceptance rate/cohort size: Highly Competitive; large cohort sizes
Dates: Summer (May–August) or Co-op (6 months) (Specific start dates often fall around June 1st)
Application Deadline: Rolling basis
Eligibility: Undergraduates (Sophomores, Juniors, Seniors) and recent graduates; pursuit of a degree in CS, IT, Data Science, or Engineering; work authorization for the U.S.
In this program, you contribute to real-world projects that support IBM’s clients, working alongside engineers, researchers, and consultants. Depending on your role, you may be involved in building AI models, developing software solutions, or analyzing large datasets to solve business problems. A key highlight of this internship is its breadth and flexibility across technical and business domains. You gain hands-on experience through project-based work while also accessing IBM’s internal training platforms and learning resources. The program emphasizes mentorship and collaboration, allowing you to work within cross-functional teams and understand how large-scale systems are designed and deployed.
13. BYU-Idaho – Computer Science & Engineering Internships
Location: Rexburg, ID (internships vary by employer; may be onsite, hybrid, or remote)
Stipend: Varies by internship placement (university-supported; may be paid or unpaid)
Acceptance rate/cohort size: Competitive; individual cohorts
Dates: Semester-based (Spring: April–July; Fall: September–December; Winter: January–April)
Application Deadline: Ongoing
Eligibility: Undergraduates in CS, Software Engineering, EE, or CE; typically requires juniors/seniors standing (at least 60+ credits)
The Computer Science & Engineering Internship program at BYU-Idaho is an academic-integrated opportunity that allows you to gain practical industry experience while earning course credit. Through this program, you work with external employers in areas such as software engineering, cybersecurity, cloud computing, and web development, applying your classroom knowledge to real-world technical challenges. The internship is structured to ensure alignment with your academic goals and professional development. A key highlight of this program is its flexibility across multiple technical tracks. You can pursue internships tailored to your specialization, including computer engineering, software development, or cybersecurity, while receiving support from the BYU-Idaho Career Center.
14. Idaho Power – Engineering Internship Program
Location: Boise, Idaho
Stipend: $24 per hour
Acceptance rate/cohort size: Competitive; cohort size varies annually
Dates: Summer cohort lasting 3–4 months typically between May and September
Application Deadline: Late October
Eligibility: Currently enrolled in an accredited engineering program as a junior or non-graduating senior; demonstrating a curious and collaborative mindset
The Idaho Power Engineering Internship Program immerses undergraduates in the high-tech electrical grid, covering topics like advanced distribution feeder modeling, energy delivery, and smart grid innovations. Your experience will intersect with artificial intelligence through grid modernization efforts, such as the utility's integration of AI-enabled grid monitors for wildfire detection. During the summer, you will execute mentored engineering projects, cross-train across departments, job shadow professionals, and participate in hands-on facility field trips. The program’s unique features include out-of-office field exploration and direct pairing with veteran engineering mentors. Ultimately, you will learn essential skills in electrical distribution modeling, real-world problem-solving, and professional networking.
15. GE Aerospace Applied AI Engineer Intern (Cloud, Data & ML)
Location: Boise, Idaho (Remote)
Stipend: Starts at $20 per hour
Acceptance rate/cohort size: Highly competitive; cohort size varies
Dates: Fall: September – December
Application Deadline: Late June
Eligibility: Currently enrolled in a Bachelor's degree program in Computer Science, Aerospace Engineering, Mechanical Engineering, or a related field at an accredited university; maintaining a minimum 3.7 cumulative GPA on a 4.0 scale; demonstrating strong academic performance in Computer Science or other STEM disciplines; exhibiting proficiency in programming and debugging with Python, C#, C++, and SQL
As a GE Aerospace Applied AI Engineer Intern, you will explore the intersection of machine learning, data engineering, and cloud architecture tailored for aviation technologies. Your curriculum covers advanced cloud platforms, predictive modeling, and data-driven aerospace solutions. Day-to-day, you will consult on diverse data science initiatives, build scalable machine learning models, deploy applications on modern cloud infrastructure, and analyze complex aerospace data. The standout feature of this program is its direct application of AI to tangible aerospace challenges, giving you the chance to impact flight technology. Ultimately, you will learn practical skills in cloud integration, machine learning deployment, and data pipeline engineering.
Frequently Asked Questions
1. Micron appears twice on this list with two different AI roles. What's the difference between them?
The two Micron roles target different technical backgrounds and problem spaces. The Computer Engineer Intern (AI/ML/LLM) role is focused on chip design itself, requiring circuits and VLSI coursework, and applies AI to improve the electronic design automation tools used to build memory products. The SSD AI and Telemetry Internship is more data-focused, requiring Python and data analysis skills like Pandas and NumPy, and centers on building pipelines and dashboards from SSD performance data rather than chip design directly. If your background is closer to computer engineering and hardware, the first role fits better; if you're stronger in data science and analytics, the telemetry role is the better match.
2. A few roles on this list, like Whiterabbit and DataAnnotation, are remote even though this is an Idaho-specific list. Why are they included?
Remote roles are included because they're genuinely open to Idaho-based students even though the company itself isn't headquartered in the state, which is common for fully distributed AI companies. Whiterabbit's Research Scientist Intern role and DataAnnotation's Android Developer role are both listed as fully remote with no geographic requirement, making them accessible regardless of where in Idaho you're based, including outside the Boise metro area where most other listings are concentrated.
3. Idaho National Laboratory has two different internships listed. How should I decide which one to apply to?
The AI-Assisted Modeling and Simulation Internship is the more technically specific of the two, focused on a single tool (MOOSE Ranger AI) and requiring proficiency in Python, C++, or specialized modeling frameworks, making it a good fit if you already have strong programming and computational science skills. The Undergraduate Research Assistant Internship is broader, matching you to a project based on your academic background and interests across AI, robotics, cybersecurity, or other STEM areas, which makes it a more flexible entry point if you're not yet sure exactly which technical niche you want to specialize in.
Key Takeaways
This list covers 15 AI internships for undergraduates in Idaho, heavily concentrated in Boise with major employers including Micron, HP, IBM, and J.R. Simplot, alongside national laboratory research positions at Idaho National Laboratory and academic options through Boise State and BYU-Idaho. Compensation ranges widely by sector, from $20 to $24 per hour at GE Aerospace and Idaho Power, to Boise State's REU program offering a $6,300 stipend plus weekly meal funds, travel support, and fully funded housing, with several large corporate roles like Micron, HP, and IBM not disclosing specific hourly rates. For students seeking flexibility without Boise residency or a fixed cohort structure, Ladder Internships, Whiterabbit's remote research role, and DataAnnotation's ongoing flexible position are the three most geographically unrestricted options on this list.