ML Engineer Intern

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale-faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.

The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA's product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics.

The Film and Scatterometry Technology (FaST) division delivers industry-leading metrology solutions essential to advanced semiconductor manufacturing. Its portfolio includes systems for measuring film thickness, critical dimensions, composition, and resistivity-key to developing and scaling next-gen IC processes. FaST partners closely with customers from early R&D through high-volume production, ensuring performance and process alignment.

• Research and develop machine learning, deep learning, image processing, and computational algorithms for semiconductor metrology applications.
• Analyze large datasets and develop novel approaches for measurement accuracy, robustness, and productivity improvements.
• Prototype and validate algorithms using Python, PyTorch, Tensor Flow, and related ML frameworks.
• Collaborate with Applications, Systems, Software, and Algorithm engineers to transition research concepts into product capabilities.
• Support next-generation metrology solutions including multi-modal measurements, uncertainty estimation, and advanced process control.

• Pursuing MS or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Physics, Data Science, or related field.
• Strong background in Machine Learning, Deep Learning, Computer Vision, Image Processing, or AI.
• Proficiency in Python.
• Experience with PyTorch and/or Tensor Flow.
• Strong mathematical foundation including statistics, optimization, and numerical methods.
• Ability to analyze large datasets and validate model performance.
• Experience writing production-quality software.
• Strong verbal and written communication skills.
• Ability to work in highly cross-functional teams.
• Semiconductor metrology, process control, or manufacturing experience preferred but not required.

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

Total Rewards Base Pay Range: $58.00 - $58.00 per hour based on pursuit of a Ph.D.

Primary

Location:

USA-CA-Milpitas-KLA

Interns are eligible for some of the benefits listed.

• 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
• family care and bonding leave

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.

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews-whether virtual or in person is not permitted unless explicitly approved in advance as part of a…