Internship – Product Engineering (Data Science: Machine Learning Analyst)
Core
Develop and evaluate anomaly detection approaches for machine learning models to ensure data reliability in semiconductor production analytics.
Role type
Internship – Product Engineering (Data Science: Machine Learning Analyst)
Builds
Trustworthy ML solutions for secure connected and autonomous vehicles
Domain
Automotive / Semiconductor / Machine Learning
Deliverable
production ML models
Required skills
Python programming, data analysis, machine learning workflows, statistics, anomaly detection, out-of-distribution detection, distribution-shift analysis
Preferred skills
Applied Mathematics, semiconductor test data knowledge, industrial ML deployment experience
Technologies
Python
Responsibilities
Develop and evaluate anomaly detection approaches for ML models; Analyze large-scale datasets to identify out-of-distribution behavior and data shifts; Design and calibrate anomaly scoring mechanisms and decision thresholds; Validate solutions using historical data and simulated anomalous scenarios; Collaborate with cross-functional teams to define anomaly types and translate insights into workflows; Document methodology, validation results, and recommended thresholds.
Seniority
Internship (Master's student)
