Samsung
Senior Machine Learning Engineer, Defect Quality & Systems
$106K–$145K
1530 FM 973 Taylor, TX, USA · On-site · Senior · Full-time · Posted Oct 15, 2026
- Experience
- 5+ years of relevant experience.
- Education
- BS or MS in Software Engineering, Computer Science, Data Science, Mathematics, or a related STEM/Engineering degree.
About the job
Leads development and production deployment of machine-learning models that detect and classify semiconductor defects in a high-throughput manufacturing environment.
What you'll do
- Design, optimize, and maintain defect-detection and classification models for accuracy, throughput, and operational reliability.
- Work with module owners to turn physical defect characteristics into modeling proposals and classification frameworks; adapt emerging research for manufacturing challenges.
- Set engineering practices, review code, and mentor junior engineers.
What they ask for
- Mastery of TensorFlow 2.x and PyTorch, with a track record of deploying models in production.
- Comfort with command-line interfaces and Linux environments (Ubuntu), and understanding of hardware-performance optimization.
- Ability to communicate ML metrics as actionable business insights and manage complex technical projects through delivery.
Nice to have
- Semiconductor industry experience.
- Experience with CNNs and object detection.
Pay
$106,000 - $145,000 USD base salary
Tools
TensorFlow 2.x, PyTorch, Linux, Ubuntu, CNNs
AI focus
Applies machine learning and vision architectures to semiconductor defect detection and classification; adapts emerging AI research for production use.
Model-written summary · the original posting is authoritative