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Microsoft Senior Applied Scientist - Microsoft Teams 
Taiwan, Taoyuan City 
991406494

16.10.2025

This role is based in Cambridge (United Kingdom).

You should apply if you are someone who:

  • Has solid experience with the deep technical aspects of research and engineering in Artificial Intelligence, Language Models, Machine Learning, Computer Vision or Speech Recognition.
  • Can communicate clearly complex technical concepts, as well as product needs and priorities.
  • Thrives in an environment where people collaborate across different disciplines, teams and geographies to deliver innovation to customers.
  • Can inspire without authority across teams and motivate individuals to work together toward common goals.
  • Can navigate uncertainty and create clarity and focus to execute toward a common vision.
Qualifications

Required:

  • Master’s degree in Statistics, Econometrics, Computer Science, Mathematics, Electrical or Computer Engineering, or related field.
  • Experience in ML Engineering and Python coding leveraging PyTorch, TensorFlow or similar framework, within large code repositories and in collaboration with additional team members.
  • Experience in designing, training or fine-tuning transformer-based models or LLMs.
  • Experience of working with computer vision or audio applications.
  • Excellent analytical, coding, communication, and collaborative skills.

Preferred:

  • Industry experience delivering real-world solutions.
  • Experience with large-scale distributed training and deployment.
  • Experience with network architecture search, quantization and other model optimization techniques.
  • Experience with Image encoders like Siglip, Florence, etc...
  • Experience with AML/ADO pipelines and CI tools.
  • System development skills spanning rapid prototypes to production systems with complex dependencies.
Responsibilities
  • Research, design, implement, adapt, train, fine tune or distill state-of-the-art multi-modal models with the aim to support human communication in Teams
  • Prepare datasets, design and implement metrics and optimize model efficiency and performance
  • Collaborate closely with other groups (research, engineering and product groups) within the wider Microsoft organization, to create the next generation of AI innovation in our products and services.
  • Embody Microsoft culture and values.