Unclassified - Ann Arbor, MI
posted 3 months ago
KLA is seeking a dedicated and motivated Software Engineer to join our Information Technology (IT) group, which plays a crucial role in the global business by connecting people, processes, and technology. The Software Engineer will be instrumental in the development and implementation of Machine Learning (ML) and Generative AI (GenAI) solutions that facilitate predictive modeling and data-driven decision-making. This position requires a strong background in statistics and programming, along with a deep understanding of data science and software engineering principles. The successful candidate will collaborate with multi-functional teams to deploy scalable ML and software solutions that drive innovation and strategic insights for our business partners. In this role, the Software Engineer will be responsible for understanding the data in the context of the business and assessing technologies that can generate useful and actionable insights. The candidate will develop technology solutions in predictive analytics, anomaly detection, classification, regression problems, ML and deep learning model architecture, statistical modeling, time series analysis, and feature engineering. The role involves quickly building proof-of-concept machine learning pipelines from data collection to model training, as well as evaluating the efficiency of proposed methodologies. Additionally, the Software Engineer will build a machine learning platform/application for the end-to-end machine learning lifecycle, which includes rapid prototyping, full-scale training, deploying, monitoring, maintaining models, and iterating on modeling ideas based on user feedback. The candidate will also serve the machine learning model in a stand-alone application or through a robust API, collaborating with business stakeholders to understand their requirements, collect feedback on machine learning results, and incorporate various signals into the machine learning models. This position offers an exciting opportunity to work in a dynamic environment where innovation is at the forefront, and employees are encouraged to tackle challenging problems.