Vision System Data Science Engineer (all genders)
Core
Design, develop, and deploy computer vision algorithms and machine learning models to analyze image, video, and sensor data for detection, classification, segmentation, and predictive analytics in industrial environments.
Role type
Senior IC Vision System Data Science Engineer
Builds
Production-grade computer vision pipelines, scalable ML models, and data processing solutions for industrial equipment and processes
Domain
Semiconductor manufacturing / Industrial automation / Computer Vision
Deliverable
production ML models
Required skills
Computer vision algorithms, Deep learning, Python, Docker, Data engineering, Model deployment, Feature engineering, Predictive analytics, Root-cause analysis, MLOps
Preferred skills
Optical systems knowledge, SQL, Cloud platforms, Semiconductor industry experience, Statistical modeling
Technologies
Python, Docker, Cloud technologies, SQL, PowerShell, R
Responsibilities
Design and deploy computer vision algorithms for detection, classification, and segmentation; Build scalable ML models using multimodal sensor data; Lead the complete data science lifecycle from collection to monitoring; Develop image-processing pipelines; Collaborate with hardware and software engineers; Conduct root-cause analysis to improve yield and stability; Mentor junior engineers; Translate insights into standardized methods; Design and maintain production-grade Python applications.
Seniority
Senior, hands-on IC