Senior Applied Scientist - Computer Vision for Quantum
Tasks
- Build agentic workflows for microscopy data
- Build machine learning models for anomaly detection
- Build machine learning models for classification
- Build machine learning models for feature extraction
- Build machine learning models for regression
- Collaborate with scientific and engineering teams to translate experimental data into insights
- Compute quantitative metrics
- Debug test and tune production systems
- Design data models and datasets
- Design image analysis algorithms
- Develop scalable analysis pipelines
- Ensure model interpretability and validation
- Handle missing invalid and unprocessed data
- Implement image registration and feature extraction
- Maintain workflow quality reliability and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Classification | Computer Vision | Data Pipelines | Databricks | Deep learning | Delta Lake | Feature extraction | Image Processing | Image registration | Machine Learning | Model Deployment | Python | Regression | Spark | Statistical Analysis | Testing | Uncertainty Estimation | Version control
Education
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