Supply Chain Data Science Intern at KLA

Ann Arbor, Michigan, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Semiconductor, Electronics ManufacturingIndustries

Requirements

Enrollment in a graduate program (Master’s or Ph.D.) in a relevant field
Demonstrated experience in developing and applying machine learning models
Strong data wrangling and preprocessing skills (e.g., data cleaning and quality control)
Ability to learn new tools and technologies quickly
Collaborative mindset and willingness to work in a team environment
Strong proficiency in Python programming (preferred)
Experience with at least one machine learning framework (e.g., PyTorch, TensorFlow, Keras) (preferred)
Familiarity with graph theory and its applications in machine learning (preferred)
Comfort with Linux command line and basic scripting (preferred)
Solid understanding of probability, statistics, and data analysis and visualization (preferred)
Ability to communicate technical concepts clearly to both technical and non-technical audiences (preferred)

Responsibilities

Build a graph representation of KLA’s spare parts demand network to enable predictive modeling and other advanced analytics
Develop and implement machine learning models (e.g., using PyTorch) to forecast monthly spare parts demand
Explore and apply graph-based approaches for network representation and prediction
Work with large datasets to uncover patterns and insights that traditional analytics cannot easily reveal
Collaborate with the supply chain and planning teams to integrate findings into actionable strategies
Utilize Linux command line tools and scripting for data processing and workflow automation

Skills

Key technologies and capabilities for this role

Machine LearningData ScienceSupply ChainPythonStatistics

Questions & Answers

Common questions about this position

What specific tasks will I be working on as a Supply Chain Data Science Intern?

You will build a graph representation of KLA’s spare parts demand network, develop machine learning models using PyTorch to forecast demand, explore graph-based approaches, work with large datasets, collaborate with teams, and utilize Linux tools for data processing.

What technical skills are required for this internship?

Key skills include machine learning with PyTorch, graph-based modeling, handling large datasets, and Linux command line tools and scripting.

Is this a full-time or part-time internship, and what is the duration?

This information is not specified in the job description.

What is the compensation or salary for this intern position?

This information is not specified in the job description.

What makes a strong candidate for this Supply Chain Data Science Intern role?

Strong candidates will have experience in machine learning (especially PyTorch), graph representations, large dataset analysis, and Linux scripting, along with the ability to collaborate with supply chain teams on real-world applications.

KLA

Provides process control and yield management solutions

About KLA

KLA provides process control and yield management solutions primarily for semiconductor manufacturers. The company offers advanced inspection tools, metrology systems, and computational analytics that help manufacturers identify and fix defects during production. This process enhances the quality and reliability of electronic devices, leading to higher production yields. KLA distinguishes itself from competitors by focusing on high-precision equipment and software that are essential for defect detection in semiconductor manufacturing. The company's goal is to promote sustainability by committing to using 100% renewable electricity in its operations by 2030.

Milpitas, CaliforniaHeadquarters

1975Year Founded

IPOCompany Stage

Industrial & Manufacturing, EnergyIndustries

5,001-10,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Retirement Plan

401(k) Company Match

Employee Stock Purchase Plan

Student Loan Assistance

Tuition Reimbursement

Wellness Program

Mental Health Support

Paid Vacation

Paid Holidays

Parental Leave

Risks

Emerging competition in solid-state battery technology may impact market share.

Rapid innovation in semiconductor processes may outpace KLA's current technology.

Potential delays in achieving renewable electricity goals could affect brand reputation.

Differentiation

KLA specializes in advanced inspection tools and metrology systems for semiconductors.

The company integrates computational analytics to enhance defect detection and yield management.

KLA is committed to sustainability, aiming for 100% renewable electricity by 2030.

Upsides

Rising demand for advanced inspection tools due to AI and IoT growth.

AI-driven predictive maintenance reduces downtime in semiconductor manufacturing.

Collaborations with cloud providers enhance data analytics and process optimization.

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