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Research Scientist Intern, Machine Perception for

vor 3 Monaten


Zürich, Zürich, Schweiz Meta Vollzeit
Egocentric human action recognition and anticipation

  • Hand motion sequence modeling for handobject interaction using deep generative models or physical simulation
  • Representation modeling (e.g., implicit, appearance, geometry) of hands, bodies and objects for fast simulation and tracking
  • Efficient deep learning (e.g., neural architecture search, sparsity, quantized networks)
  • Interaction design for hands, bodies and objects in virtual reality and augmented reality
  • Sensor fusion (e.g. of pressure, RF, EXG, IMU) with optical tracking

Research Scientist Intern, Machine Perception for Input and Interaction (PhD) Responsibilities:

  • Design and execution of algorithms in the domain of computer vision, machine learning, computer graphics, sensor fusion, or HCI software and hardware prototyping
  • Design of user studies and experiments
  • Collaboration with other researchers across various disciplines
  • Communication of research agenda, progress, and results

Minimum Qualifications:

  • Currently has, or is in the process of obtaining, a PhD degree in EE/CS, Applied Math or a related STEM field
  • Currently has, or is in the process of obtaining, a PhD degree in EE/CS, Applied Math or a related STEM field
  • Experience in one or more of the following: computer vision (e.g. tracking, pose estimation, action recognition), computer graphics (e.g. appearance, geometry, physicallybased modeling), robotics (state estimation, optimal control), machine learning (e.g. efficient deep learning, domain adaptation, transfer learning), natural language processing, or humancomputer interaction
  • Experience in one or more of the following: computer vision (e.g. tracking, pose estimation, action recognition), computer graphics (e.g. appearance, geometry, physicallybased modeling), robotics (state estimation, optimal control), machine learning (e.g. efficient deep learning, domain adaptation, transfer learning), natural language processing, or humancomputer interaction
  • Excellent communication skills
  • Excellent communication skills
  • High levels of creativity and problem solving capabilities
  • High levels of creativity and problem solving capabilities
  • Experience with C++ or Python
  • Experience with C++ or Python
  • Experience with ML frameworks such as PyTorch, Tensorflow, etc.
  • Experience with ML frameworks such as PyTorch, Tensorflow, etc.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or firstauthored publications at leading journals or conferences such as CVPR, ECCV/ICCV, BMVC, NeurIPS, ICML, ICLR, CHI, SIGGRAPH/SIGGRAPH Asia, ICRA, IROS, RSS, TPAMI, IJCV, etc.
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or firstauthored publications at leading journals or conferences such as CVPR, ECCV/ICCV, BMVC, NeurIPS, ICML, ICLR, CHI, SIGGRAPH/SIGGRAPH Asia, ICRA, IROS, RSS, TPAMI, IJCV, etc.
  • Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experiences working on high volume multisensor streaming data processing and realtime multisensor, in particular cameras, fusion for computer vision and machine learning systems
  • Experiences working on high volume multisensor streaming data processing and realtime multisensor, in particular cameras, fusion for computer vision and machine learning systems

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.