Research Scientist - Mixed Reality
Zürich, Zürich, Switzerland
vor 19 Std.

In Mixed Reality, people not devices are at the center of everything we do. Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together whether that’s scientists meeting on the surface of a virtual Mars or some yet undreamt-

of possibility. To get there, we’re incorporating diverse ground-breaking technologies, from the revolutionary Holographic Processing Unit to computer vision, machine learning, human-

computer interaction, and more. We’re a growing team of talented scientists and engineers putting technology on a human path across all Windows devices, including Microsoft HoloLens, Kinect for Azure, the Internet of Things, phones, tablets, desktops, and Xbox.

We believe there has to be a better way. If you do too, we need you!

The new Microsoft lab in Zurich is located near ETH Zurich, the top technical school in continental Europe, enabling close collaboration in multiple areas.

The city of Zurich, Switzerland, is centrally located in Europe and consistently ranks among the top cities in the world for quality of life.

The Microsoft Mixed Reality & AI lab in Zurich, Switzerland, is a new research team building the future of mixed reality.

We are passionate about using computer vision to map and understand the environment, recognize and track relevant objects, and assist the user in performing the task at hand.

The team aims at building up a diverse expertise across computer vision, graphics, machine learning, robotics, interaction, and software engineering.

We are looking for talented computer vision and machine learning researchers and software engineers : people who love to invent and build new stuff that really works and can be deployed to millions of users.


  • Computer Vision Contribute with your expert knowledge in one of the following domains : Develop advanced solutions for geometric computer vision problems (i.
  • e.., structure-from-motion, visual-inertial localization, SLAM, multi-view stereo, etc.) by fusing visual and inertial information from multiple cameras, IMUs, and other sensors.

    Develop advanced solutions for computer vision problems with a focus on action recognition, human body and hand pose estimation, hand-

    object interaction understanding, on both egocentric and third-person scenarios.

  • Apply Optimization and Machine Learning to the computer vision problems explained above.
  • Research and Engineering Investigate challenging unsolved problems and design novel solutions by rapidly prototyping and evaluating the ideas using data / test driven analysis.
  • Develop the prototypes into real products using strong software engineering skills.

  • Academic Collaborations Leverage the close collaboration with ETH Zurich and other excellent academic partners for exploratory research with the opportunity to publish at top conferences or journals.
  • Consultation Provide expert advice in your area of expertise across the organization.
  • Qualifications

  • Must be passionate about incubating new ideas, solving problems, and building working systems
  • Excellent oral and written communication skills
  • Should hold a PhD or similar degree in computer vision, machine learning or robotics or have suitable alternate expertise and experience.
  • Ideally, the candidate has a strong publication record with research results published at top-tier conferences and journals (CVPR, ECCV, ICCV, ICRA, IROS, TPAMI, NeurIPS, ICLR, etc.)

  • Must be strong programmers with software engineering experience and good debugging skills. Experience in the following would be advantageous : C++ (esp.
  • C++11 and newer), C, Python, C#GPU programming (esp. CUDA) High- and low-level code optimization

  • Should have hands-on experience working on at least one of : 3D computer visionMachine learning, esp. deep learningProbability and statisticsNumerical algorithms, e.
  • g., non-linear optimizationRobotics and control systemsNovel sensing hardware

  • Should have strong mathematical skills
  • Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

    We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and / or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

    Benefits / perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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