Reality Labs (RL) teams are looking for exceptional interns to help us create next generation interaction technologies for virtual and augmented reality. Join a full-stack team working on computer vision, machine learning, geometric and appearance modeling, physically-based modeling, sensor design and fusion, and human computer interaction. We are accepting applications from those interested in (but not limited to) the following areas:- Tracking of hands, bodies and objects and their interactions through machine learning, computer vision and sensor fusion- Egocentric human action recognition and anticipation- Hand motion sequence modeling for hand-object 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 prototypingDesign of user studies and experimentsCollaboration with other researchers across various disciplinesCommunication of research agenda, progress, and resultsMinimum Qualifications:

　　Currently has, or is in the process of obtaining, a PhD degree in EE/CS, Applied Math or a related STEM fieldCurrently has, or is in the process of obtaining, a PhD degree in EE/CS, Applied Math or a related STEM fieldExperience in one or more of the following: computer vision (e.g. tracking, pose estimation, action recognition), computer graphics (e.g. appearance, geometry, physically-based modeling), robotics (state estimation, optimal control), machine learning (e.g. efficient deep learning, domain adaptation, transfer learning), natural language processing, or human-computer interactionExperience in one or more of the following: computer vision (e.g. tracking, pose estimation, action recognition), computer graphics (e.g. appearance, geometry, physically-based modeling), robotics (state estimation, optimal control), machine learning (e.g. efficient deep learning, domain adaptation, transfer learning), natural language processing, or human-computer interactionExcellent communication skillsExcellent communication skillsHigh levels of creativity and problem solving capabilitiesHigh levels of creativity and problem solving capabilitiesExperience with C++ or PythonExperience with C++ or PythonExperience 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 employmentMust obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employmentPreferred Qualifications:

　　Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or first-authored 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 first-authored 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 multi-sensor streaming data processing and real-time multi-sensor, in particular cameras, fusion for computer vision and machine learning systemsExperiences working on high volume multi-sensor streaming data processing and real-time multi-sensor, in particular cameras, fusion for computer vision and machine learning systemsExperiences on optimizing and deploying deep learning models on SoC of mobile devices for high performance real time applicationsExperiences on optimizing and deploying deep learning models on SoC of mobile devices for high performance real time applicationsAbout 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.