Microsoft Senior Applied Scientist 

Taiwan, Taoyuan City 

342128829

We expect you to be a hands-on researcher with excellent analytical skills and an intrinsic drive to overcome obstacles. You will collaborate closely with a diverse team to deliver high-quality, maintainable solutions in a dynamic environment.

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Proven experience developing and optimizing generative models, particularly diffusion and auto-regressive models, for image and video applications.
• Strong track record of optimizing neural network architectures specifically for NPUs or other hardware accelerators.
• Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Excellent analytical, communication, and collaborative skills.

Preferred Qualifications:

• Industry experience delivering real-world generative AI solutions.
• Knowledge of hardware-aware model optimization techniques.
• Experience with large-scale distributed training and deployment.
• Experience with AML/ADO pipelines.
• Knowledge of ML model optimization techniques.
• Demonstrated ability to publish impactful research in leading AI/ML conferences such as CVPR, ICCV, NeurIPS, ICML, or similar.

• Research, design, and implement state-of-the-art generative models (diffusion, auto-regressive, etc.) for high-quality image and video generation.
• Optimize deep neural networks for deployment on Neural Processing Units (NPUs), maximizing efficiency and performance.
• Collaborate with cross-functional teams, including researchers, engineers, and product teams, to integrate developed technologies into Microsoft’s products and services.
• Publish groundbreaking research results in top-tier conferences and journals, contributing actively to the scientific community.
• Mentor junior scientists and interns, fostering a collaborative and innovative research environment.