Senior Applied Scientist - Computer Vision for Quantum

Join Microsoft Quantum to help build the foundation for scalable quantum computing by transforming experimental data into actionable engineering insight. You will work at the intersection of physics, software engineering, and cloud-scale data science, collaborating with scientists and engineers to accelerate quantum machine development. Your work will directly impact how we understand, evaluate, and improve quantum machines all the way up to utility scale. 

At Microsoft Quantum, we aim to empower science and scientists to solve the world’s biggest problems by realizing advanced computing platforms at the intersection of high-performance computing, artificial intelligence, and quantum information technology. Microsoft Quantum will change the world of computing and help solve some of humankind’s currently unsolvable problems. For more information about our team, visit https://www.microsoft.com/en-us/quantum. 

We are seeking a Senior Applied Scientist, to design, build, and scale analytical pipelines and algorithms that translate complex experimental measurements into decision-ready insights. You will work hands-on with imaging and characterization data, developing robust, production-grade analysis workflows that enable engineering teams to evaluate devices, improve yield, and iterate quickly. This opportunity will allow you to deepen your expertise at the intersection of software engineering and experimental science, develop scalable data and machine learning systems, and directly influence next-generation computing technologies.  

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 

• 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.   

Required Qualifications 

• Master’s or Doctorate degree in Computer Science, Physics, Electrical Engineering, Applied Mathematics, Statistics, Data Science, or a related field OR equivalent experience