Supply Chain Data Science Intern 🎓

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.