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Microsoft
Scientist Action Recognition - Spatial AI Lab
Zürich
FULL TIME
October 25, 2024
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.
This opportunity will allow you to grow your expertise in Spatial AI, learn more about cloud computing and supervise interns or be involved in joint research projects with ETH.
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 our relationships with the research community. May contribute to publications, workshops, or the supervision of interns & Ph D/MS students.
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.
Qualifications
Ph D in Computer Vision, or AI/Machine Learning or similar professional experience.
-
Demonstrated coding, debugging, and engineering skills in programming languages such as C++ (esp. C++14 and newer) or Python.
- Ability to present complex technical concepts to a diverse audience.
Hands-on experience with deep learning and/or computer vision methods.
Self-motivated team-player, problem solver, and keen to learn.
Preferred Qualifications:
Ego-centric video understanding, and action and activity recognition in video.
-
Human motion analysis, skeletal action recognition.
- Publication record at top-tier conferences and journals (e.g., CVPR, ECCV, ICCV, Neur IPS, ICLR, Co RL).
Experience with spatio-temporal feature extraction techniques.
Experience with deep learning models like transformers and attention mechanisms for sequence modeling.
Familiarity with object detection and semantic segmentation in computer vision.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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