Machine Learning Engineer

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of datadriven and MLpowered solutions for semiconductor R&D, test, and operations teams. In this role, you'll contribute to building predictive models, conducting statistical analyses, and assisting in the development of lighttomoderate data pipelines that help transform complex semiconductor datasets into actionable insights.

This position is ideal for a recent graduate with strong foundational ML skills who is eager to learn, collaborate, and grow in a fastpaced, technically rich environment. You'll work alongside experienced engineers, data scientists, and domain experts while gaining handson experience across the ML lifecycle-from data preparation to model deployment

Key Responsibilities

Machine Learning & Advanced Analytics

• Develop and evaluate ML models (e.g., classification, anomaly detection, regression, timeseries analysis).

• Perform feature engineering and exploratory data analysis on semiconductor datasets.

• Contribute to model deployment workflows in collaboration with ML data scientists, following MLOps best practices.

• Assist in implementing model monitoring, retraining workflows, and documentation.
• Experiment with modern analytics techniques, including LLMbased or generativeAI methods, under guidance from senior team members.

Data Engineering & Pipeline Support

• Help build and maintain ETL/ELT workflows that prepare data for analysis and modeling.

• Support data quality checks, versioning, and data validation tasks.

• Work with cloud and onprem tools to help ensure data accessibility for ML applications.

CrossFunctional Collaboration

• Work with semiconductor engineers and data scientists to translate domain challenges into analytical tasks.

• Support the creation of dashboards, reports, and visualizations that communicate insights clearly.

• Learn and apply semiconductorspecific data concepts with the support of senior mentors.