Research Scientist Intern, Computer Vision and Machine Learning (PhD)

Meta Reality Labs team is helping people around the world come together and connect through world-class Augmented, Mixed and Virtual Reality hardware and software. With global departments dedicated to AR/VR research, computer vision, haptics, social interaction, and more, we are committed to driving the state-of-the-art forward through relentless innovation. AR and VR potential to change the world is immense - and we're just getting started.Our team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future Meta products. From Scene Understanding, Semantic/Context Understanding, Visual Localization, 3D Reconstruction, SLAM, our team is focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Computer Vision and Machine Learning (PhD) Responsibilities:

• Participate in cutting edge Computer Vision & Machine Learning research and development for VR/MR related topics
• Develop technology that will be part of mass-market shipping consumer and online products
• Document, present your progress and project, and be motivated to publish your findings at high-impact CV/ML conferences
  
  

Minimum Qualifications:

• Currently in the process of obtaining a PhD degree in Computer Science, Electrical Engineering, or Electrical and Computer Engineering in the field of computer vision, machine learning
• 3+ years experience with Python and/or C++
• Must be currently enrolled in a full time degree program and returning to the program after the completion of the internship
• 2+ years experience with modern deep learning frameworks like PyTorch
• 2+ years of experience developing and designing Computer Vision or Machine Learning algorithms
• Knowledge in Computer Vision, in one or more of the following domains: Scene Understanding, Multi-View Geometry (e.g. Structure-from-Motion, Multi-View Stereo, SLAM), Visual Localization, Semantic Segmentation, Semi / Weekly / Self-supervised Machine Learning Video Understanding and Summarization, Audio Understanding, Multi-modal Understanding, Sentiment Analysis from Audio, Saliency Analysis, Moment Retrieval, Reinforcement Learning.
• Excellent interpersonal skills, cross-group and cross-culture collaboration
• Ability to communicate complex research in a clear, precise, and actionable manner.
• High levels of creativity and quick problem solving capabilities
• Proven track record of achieving significant results
  
  

Preferred Qualifications:

• Proven track record of achieving significant results as demonstrated by publications in top computer vision conferences (e.g., CVPR, ICCV, ECCV, or, SIGGRAPH) or journals (e.g., IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Pattern Recognition, or IEEE Transactions on Image Processing).
• Demonstrated software engineering experience via an internship, work experience, coding competitions, open source contributions, or research
• Intent to return to a degree-program after the completion of the internship/co-op.
  
  

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.