Supply Chain Data Science Intern

Description

/Preferred Qualifications

Join KLA’s Service Supply Chain team as a Summer Intern in Machine Learning! Our service supply chain supports a wide range of spare parts—from basic hardware to highly sophisticated optics, lasers, and precision mechanical devices. To ensure optimal delivery performance, we leverage advanced analytics and machine learning to predict demand and improve planning processes.

As an intern, you will:

• 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.

This internship offers hands-on experience applying cutting-edge machine learning techniques to real-world supply chain challenges.

Minimum Qualifications

Preferred Qualifications

• Strong proficiency in Python programming.
• Experience with at least one machine learning framework (e.g., PyTorch, TensorFlow, Keras).
• Familiarity with graph theory and its applications in machine learning is a plus.
• Comfort with Linux command line and basic scripting.
• Solid understanding of probability, statistics, and data analysis and visualization.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.

Minimum Qualifications

• 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.

Base Pay Range: $0.00 - $0.00 Per HourPrimary Location: USA-MI-Ann Arbor-KLAKLA’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.

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