Senior Applied Scientist - Computer Vision for Quantum

• Develop and maintain scalable analysis pipelines and agentic workflows for experimental microscopy imaging and characterization data, enabling consistent and reliable interpretation of the data
• Design and implement algorithms for image analysis, registration, feature extraction, and quantitative metrics, ensuring robustness, correctness, and reproducibility in production environments
• Build and operationalize machine learning and AI models for feature extraction, classification, regression, or anomaly detection, ensuring interpretability, validation, and long-term reliability
• Partner with physicists, hardware engineers, materials scientists, and data engineering teams to translate experimental data into actionable insights that improve product quality and yield
• Design and maintain clear, interpretable data models and datasets, including handling of missing, invalid, and unprocessed data states to ensure reproducibility
• Own the quality, reliability, and documentation of analytical workflows, including debugging, testing, performance tuning, and continuous improvement of production systems
• Embody our culture and values

• Master's or Doctorate degree in Computer Science, Physics, Electrical Engineering, Applied Mathematics, Statistics, Data Science, or a related field OR equivalent experience
• Programming experience in Python, including scientific computing and development of production-quality code (testing, packaging, version control, and code review)
• Experience with image processing, computer vision, or imaging-based analysis workflows
• Demonstrated expertise in statistical analysis and uncertainty estimation in measurement or experimental systems

• Experience developing, training, validating, and deploying machine learning models for experimental or production data
• Experience building and maintaining data pipelines in modern distributed or analytics environments (e.g., Spark, Databricks, Delta Lake, or equivalent)
• Familiarity with nanofabrication processes and associated metrology techniques
• Experience working in shared, long-lived analytical or production codebases
• Experience collaborating with experimental, hardware, or scientific teams and reasoning about physical system constraints

Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/denmark-corporate-pay.html