Algorithms/Machine Learning Engineering Intern (Multi-Modalities)

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 Film and Scatterometry Technology (FaST) Division provides industry leading metrology solutions for worldwide semiconductor IC manufacturers. The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems. These products are essential for the IC manufacturers as they provide critical metrology capabilities for the development and implementation of their advanced IC processes. The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs. The division consists of a global team located in US, Israel, China, and India.

Job Description/Preferred Qualifications

Responsibilities:

As an Algorithms/Machine Learning Engineering Intern, you will:

• Design and advance multi-modality machine learning solutions that integrate diverse data sources to improve model performance.
• Lead theoretical investigations and data-driven analyses to assess and validate new model architectures.
• Develop and maintain data-quality evaluation frameworks for newly introduced modalities.
• Implement structured test plans and perform in-depth analysis of experimental outcomes to guide iterative improvements.
• Partner with cross-functional teams to refine algorithmic approaches and enhance measurement and evaluation capabilities.

Required Skills:

• Students studying towards a PhD Level Degree in Physics, Data Science, Machine Learning, Computer Science or related field that has worked with multi-modalities
• Proficiency in Python and Machine Learning frameworks (PyTorch or Tensorflow)
• Ability to perform experiments and data/error analysis
• Strong organizational skills and ability to follow detailed work plans and test procedures.

Preferred Qualifications:

• Publications on using Machine Learning for multi-modalities strongly encouraged
• Familiarity with materials science, engineering, and semiconductor processes are a plus

Minimum Qualifications

• Students studying towards a PhD Level Degree in Physics, Data Science, Machine Learning, Computer Science or related field that has worked with multi-modalities
• Proficiency in Python and Machine Learning frameworks (PyTorch or Tensorflow)

Base Pay Range: $57.00 - $57.00 per hour based on pursuit of a Ph.D.

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 or at +1- to request accommodation.

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