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Artificial Intelligence Engineer Trainee Jobs (NOW HIRING)

Lead Artificial Intelligence Engineer

Las Vegas, NV ยท On-site

$99K - $130K/yr

Description Position Summary The Lead Artificial Intelligence Engineer develops and produces AI and machine learning solutions supporting banking and credit card businesses. This role focuses on ...

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.

Conducts data analysis, preprocessing, training, testing, validating and feature engineering to extract valuable insights from large datasets, improving model performance and accuracy. * Stays ...

Proficiency in Python, REST APIs, React/Node.js, and cloud-native infrastructure (Docker, CI/CD) with 5 years of minimum experience in software engineering or data science, including 1 year in GenAI ...

Hybrid work environment - Candidate must be local to Pittsburgh, PA An excellent career opportunity is currently available for an AI Engineer local to the Aires Pittsburgh, PA office. This exciting ...

Artificial Intelligence Engineer

Pittsburgh, PA ยท On-site

$111K - $133K/yr

Conducts data analysis, preprocessing, training, testing, validating and feature engineering to extract valuable insights from large datasets, improving model performance and accuracy. * Stays ...

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.

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.

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Artificial Intelligence Engineer Trainee information

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How much do artificial intelligence engineer trainee jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for artificial intelligence engineer trainee in the United States is $22.46, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $26.20 per hour, depending on experience, location, and employer.

What does an Artificial Intelligence Engineer Trainee do?

An Artificial Intelligence Engineer Trainee learns and assists with designing, developing, and deploying AI models and systems under the supervision of experienced engineers. Their responsibilities often include data preprocessing, building and testing machine learning algorithms, and supporting the integration of AI solutions into existing products or services. Trainees may also work on tasks related to natural language processing, computer vision, or predictive analytics, and are expected to keep up-to-date with the latest AI research and technologies. This role is ideal for individuals who are starting their careers in AI and want hands-on experience while enhancing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Engineer Trainee, and why are they important?

To thrive as an Artificial Intelligence Engineer Trainee, a solid background in computer science, mathematics, and programming languages like Python is essential, often supported by a relevant degree or coursework. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and version control systems is typically expected. Strong analytical thinking, problem-solving ability, and willingness to learn new technologies help trainees stand out in this evolving field. These skills and qualities are crucial for effectively developing, testing, and deploying AI models in real-world applications.

What are some common challenges faced by Artificial Intelligence Engineer Trainees during their first projects?

As an Artificial Intelligence Engineer Trainee, you may encounter challenges such as understanding complex datasets, managing data preprocessing, and bridging the gap between theoretical knowledge and real-world applications. Collaborating with cross-functional teams, learning to select appropriate machine learning models, and debugging code are also common hurdles. However, these challenges offer valuable learning opportunities and are typically addressed with mentorship, hands-on practice, and access to collaborative team resources.
More about Artificial Intelligence Engineer Trainee jobs
What cities are hiring for Artificial Intelligence Engineer Trainee jobs? Cities with the most Artificial Intelligence Engineer Trainee job openings:
What are the most commonly searched types of Artificial Intelligence Engineer jobs? The most popular types of Artificial Intelligence Engineer jobs are:
What states have the most Artificial Intelligence Engineer Trainee jobs? States with the most job openings for Artificial Intelligence Engineer Trainee jobs include:
Infographic showing various Artificial Intelligence Engineer Trainee job openings in the United States as of May 2026, with employment types broken down into 8% Internship, 53% Full Time, 8% Part Time, and 31% Contract. Highlights an 100% In-person job distribution, with an average salary of $46,727 per year, or $22.5 per hour.
Artificial Intelligence Engineer

Artificial Intelligence Engineer

KLA Corporation

Milpitas, CA โ€ข On-site

$140K - $238K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 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 years
Base Pay Range: $140,500.00 - $238,900.00 Annually
Primary Location: USA-CA-Milpitas-KLA
KLA'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 at talent.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.