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$23K

$115.9K

$215.5K

How much do artificial intelligence internships jobs pay per year?

As of Aug 22, 2026, the average yearly pay for artificial intelligence internships in the United States is $115,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $156,500.00 per year, depending on experience, location, and employer.

What is an artificial intelligence internship?

Artificial Intelligence (AI) internships are temporary positions offered by companies, research labs, or academic institutions that allow students or recent graduates to gain practical experience working with AI technologies. These internships typically involve projects related to machine learning, deep learning, data analysis, or natural language processing. Interns often work on real-world problems, collaborate with experienced AI professionals, and use programming languages such as Python and tools like TensorFlow or PyTorch. Such internships provide valuable hands-on skills, industry exposure, and can often lead to full-time employment in the AI field.

What are the key skills and qualifications needed to thrive as an artificial intelligence intern?

To thrive as an Artificial Intelligence Intern, you generally need a strong background in computer science, mathematics, and programming languages such as Python, often supported by ongoing studies or a degree in a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), data analysis tools, and version control systems is typically expected. Critical thinking, curiosity, and collaborative communication skills help interns actively contribute and learn from diverse teams. These skills and qualities are crucial for effectively solving complex AI problems and maximizing learning during the internship.

What types of projects can I expect to work on during an artificial intelligence internship?

As an Artificial Intelligence intern, you can expect to contribute to projects such as developing machine learning models, working with large datasets, assisting in data preprocessing, or implementing algorithms for tasks like image recognition or natural language processing. Interns often collaborate closely with data scientists, software engineers, and research teams, gaining hands-on experience with industry-standard tools and frameworks. These experiences are designed to help you build practical skills, understand real-world AI challenges, and prepare for future roles in the field.

What is the difference between Artificial Intelligence Internships vs Data Science Internships?

AspectArtificial Intelligence InternshipsData Science Internships
Required CredentialsRelevant coursework, programming skills, basic understanding of AI conceptsStatistics, programming, data analysis skills, often a related degree
Work EnvironmentTech companies, research labs, startups focusing on AI projectsTech firms, consulting agencies, research institutions working with data analysis
Employer & Industry UsagePrimarily in AI development, machine learning, roboticsData analysis, predictive modeling, business intelligence
Search & Comparison IntentInterested in AI-specific roles, machine learning projectsLooking for data analysis, insights, and data-driven decision making

Artificial Intelligence Internships focus on developing AI and machine learning models, while Data Science Internships emphasize analyzing data to extract insights. Both roles require programming skills and relevant coursework, but AI internships are more specialized in AI technologies, whereas Data Science internships cover broader data analysis techniques.

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Artificial Intelligence Internships jobs near you
Infographic showing various Artificial Intelligence Internships job openings in the United States as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $115,893 per year, or $55.7 per hour.

Artificial Intelligence Engineer

KLA Corporation

Milpitas, CA

$140K - $238K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division

With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA's Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry's most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.

Job Description/Preferred Qualifications

Are you a computer vision engineer or researcher who loves working on challenging unsolved problems in a dynamic and collaborative environment? Have you lead a team taking a computer vision problem from invention to product? KLA could be for you. Come join our high performing team consisting of PhDs, machine vision and algorithm engineers building the next generation of AI enabled semiconductor inspection equipment. The successful candidate will grow their career in the LS-SWIFT algorithms group in California.

Responsibilities :

  • Designing, developing, modifying and diagnosing complex ML and DL algorithms
  • Ability to invent, prototype and deploy new image processing algorithms and ideas
  • Hands-on experience in object-oriented and functional programming
  • Excellent written and verbal communication skills.
  • Ability to work both independently and in a team environment.

Qualifications:

  • Strong background in one or more of the following areas: machine Learning, deep learning, computer vision, image processing
  • Familiar with one of common deep learning frameworks like TensorFlow, PyTorch
  • Hands-on experience with training ML/AI models that have been deployed in a product
  • Ability to write model architectures from scratch, modify loss functions

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 yearsBase Pay Range: $140,500.00 - $238,900.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us attalent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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