Senior Applied Scientist - Computer Vision for Quantum
Core
Develop scalable analysis pipelines and agentic workflows for experimental microscopy imaging and characterization data to enable reliable interpretation and actionable insights for product quality and yield.
Role type
Senior Applied Scientist (Computer Vision for Quantum/Metrology)
Builds
Production-quality image analysis pipelines, ML models for feature extraction/classification, and data models for experimental microscopy data.
Domain
Quantum materials science / Nanofabrication metrology / Experimental imaging
Deliverable
production ML models | data pipelines | dashboards & analysis
Required skills
Python (scientific computing), image processing, computer vision, statistical analysis, uncertainty estimation, machine learning model deployment, distributed data pipelines (Spark/Databricks/Delta Lake), nanofabrication metrology knowledge, physical system constraints reasoning
Preferred skills
AI tool leverage for automation, experience with long-lived codebases
Technologies
Python, Spark, Databricks, Delta Lake
Responsibilities
Design and implement algorithms for image analysis, registration, feature extraction, and quantitative metrics; Build and operationalize ML models for feature extraction, classification, regression, or anomaly detection; Partner with physicists and hardware engineers to translate data into insights; Design and maintain interpretable data models and datasets; Own quality, reliability, and documentation of analytical workflows.
Seniority
Senior, hands-on IC
