Vision Systems Engineer: AI & ML for Semiconductors

Lam Research; Tualatin (OR); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

On-site Flex

Virtual Flex

Job summary

Lam Research in Oregon seeks a Vision System Data Science Engineer to lead design and deployment of advanced computer vision and ML solutions for semiconductor equipment.

You will collaborate with colleagues across engineering, data science, and product teams to deliver production-ready vision systems leveraging cloud platforms and edge inference. The role emphasizes data quality, model performance, and driving yield improvements in a dynamic, high-stakes environment.

Qualifications

• Master's or PhD with relevant experience in data science, CV, ML/AI.
• Strong expertise in computer vision, ML/DL, statistics.
• Experience with cloud platforms (Azure, AWS, GCP) and MLOps.
• Proficiency in Python and C/C++, with scientific computing libraries.

Responsibilities

• Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics.
• Build scalable ML/DL models using image, video, and multimodal sensor data.
• Lead data science lifecycle: data collection, labeling, feature engineering, model training, validation, deployment, monitoring.
• Develop robust image-processing pipelines using modern CV frameworks and cloud tech.
• Define data quality standards and model performance metrics for production readiness.
• Collaborate with engineers and product teams to deliver integrated vision solutions.
• Conduct root-cause analysis and apply analytics to improve yield and equipment performance.
• Drive exploration of new AI/vision technologies to push boundaries.

Skills

Computer Vision

Machine Learning

Deep Learning

Image Processing

Python

C/C++

Cloud Platforms

MLOps

OpenCV

Education

Master's degree (Data Science/CS/Physics)

PhD (related field)

Tools

TensorFlow

PyTorch

OpenCV

Job description

Lam Research in Oregon seeks a Vision System Data Science Engineer to lead design and deployment of advanced computer vision and ML solutions for semiconductor equipment.

You will collaborate with colleagues across engineering, data science, and product teams to deliver production-ready vision systems leveraging cloud platforms and edge inference. The role emphasizes data quality, model performance, and driving yield improvements in a dynamic, high-stakes environment.