Image Processing Intern

1000 KLA Corporation; Milpitas (CA); Presencial; USD 68 000 - 80 000; Tempo integral

Resumo da oferta

KLA Corporation invites master's or Ph.D. students to contribute to cutting-edge projects in image analysis and machine learning for semiconductor inspection. You will work with engineering and scientific teams, applying CV/ML methods to datasets and documenting results for future development.

This internship offers hands-on experience in a high-tech environment in Milpitas, CA, with opportunities to learn and grow while supporting industry-leading process control and yield management solutions.

Qualificações

• Pursuing a Master's or Ph.D. in a relevant field.
• Experience in image processing, image analysis, computer vision, or computational imaging.
• Machine learning or deep learning experience.
• Strong Python programming skills.
• Solid foundation in statistics.
• Strong analytical and problem-solving skills, curiosity, and willingness to learn unfamiliar methods and application areas.
• Ability to work independently and collaboratively, and clearly communicate technical findings.

Responsabilidades

• Investigate image processing, computer vision, and machine learning methods relevant to semiconductor inspection.
• Implement, adapt, and evaluate methods on optical and/or scanning electron microscope image datasets.
• Develop reproducible analyses and benchmarks to compare methods and understand their strengths, limitations, and suitability for the data.
• Collaborate with scientists and engineers to interpret results and draw conclusions that inform future research and development.
• Document methods and findings, and present results and recommendations to the team.

Conhecimentos

Python

Statistics

Machine learning

Analytical thinking

Communication

Formação académica

Master's or PhD student in a related field

Ferramentas

Python

Descrição da oferta de emprego

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. KLA Corporation is seeking enthusiastic and driven master’s or Ph.D. students to contribute to cutting edge projects within our engineering and scientific teams. This role offers hands‑on experience in a dynamic, high tech environment, supporting the development and improvement of KLA's industry leading process control and yield management solutions. Bring your image analysis or machine learning skills to a new application area! Students from diverse scientific backgrounds are encouraged to apply; prior semiconductor experience is not required.

Job Responsibilities

• Investigate image processing, computer vision, and machine learning methods relevant to semiconductor inspection.
• Implement, adapt, and evaluate selected methods on optical and/or scanning electron microscope image datasets.
• Develop reproducible analyses and benchmarks to compare methods and understand their strengths, limitations, and suitability for the data.
• Collaborate with scientists and engineers to interpret results and draw conclusions that inform future research and development.
• Document methods and findings, and present results and recommendations to the team.

Required Qualifications

• Currently pursuing a Master's or Ph.D. degree in mathematics, statistics, physics, engineering, computer science, materials science, biology, geography or a related field.
• Relevant coursework, research, or independent project experience in at least one of the following: Image processing, image analysis, computer vision, or computational imaging
• Machine learning or deep learning, not necessarily applied to images.
• Strong Python programming skills.
• Solid foundation in statistics.
• Strong analytical and problem‑solving skills, curiosity, and willingness to learn unfamiliar methods and application areas.
• Ability to work independently and collaboratively, and clearly communicate technical findings.

Minimum Qualifications

Requires less than 1 year of related experience

About KLA

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: $49.00 - $58.00 per hour based on pursuit of a Masters and 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.

Use of AI Statement

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 reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.

Equal Opportunity Statement

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 [e-mail] or at [phone] to request accommodation. For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.