Microsoft Research Scientist 

Taiwan, Taoyuan City 

176459806

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).

• 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.