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Microsoft Research Scientist 
Taiwan, Taoyuan City 
176459806

03.04.2025

You will conduct research at the intersection of computer vision, machine learning/AI, robotics and cloud computing. This research will help humans and robotic agents to understand the environment, recognize objects, and perform tasks.deployment ofto Copilot+s withneural processing unit (NPU)or toand supervise interns or be involved in joint research projects with ETH.


Required Qualification(s):

  • PhD in Computer Vision or AI/Machine Learning or Robotics or similar professional experience.
  • Demonstrated coding, debugging, and engineering skills in programming languages such as C++ or Python.
  • Hands-on experience with deep learning and/or computer vision methods.
  • Self-motivated team-player, problem solver, and keen to learn.
  • Ability to present complex technical concepts to a diverse audience.

Preferred Qualifications:

  • Prior research in one or more of the following areas:
  • 3D scene reasoning with open vocabularies,Vision-Language Models (VLMs).
  • Experience with deep learning models like transformers and attention mechanisms for sequence modeling.
  • Video understanding, action and activity recognition.
  • Experience with spatio-temporal feature extraction techniques.
  • Object detection and semantic segmentation.
  • Robot-environment / robot-human interaction, particularly through natural language.
  • Publication record at top-tier conferences and journals (e.g., CVPR, ECCV, ICCV,  NeurIPS, ICLR, CoRL).
Responsibilities
  • Works within a team to achieve goals and objectives across services, including understanding user requirements, design, and coding.
  • Brings the State of the Art to Products - collaborates in an interdisciplinary team to bridge the gap between research and development.
  • Grows expertise in one or more subareas of research.
  • Develops a deep understanding of tools, technologies and methods that can be utilized to deploy product-grade, robust and efficient code in the cloud.
  • Grows our relationships with the research community. May contribute to publications, workshops, or the supervision of interns & PhD/MS students.