Job Description

The Reality Labs org aims to connect people through world-class wearables and spatial intelligence. The Spatial AI team develops cutting-edge technologies that serve as the foundation of current and future Meta products. Specifically, our engineering and research teams cover the topics of on-device and cloud-based mapping, localization, scene understanding, and spatial reasoning with a focus on incubating new technologies from research to production while iterating, prototyping, and realizing the developer and user value. Our internships are twelve (20) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, 3D Computer Vision and Machine Learning (PhD) Responsibilities
Participate in cutting-edge 3D Computer Vision & Machine Learning research and development for wearables & AI
Develop technology that will be part of mass-market shipping consumer products
Document and present research progress and aim to publish 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, computer graphics, or robotics
3+ years experience with Python and/or C++
2+ years experience with modern deep learning frameworks like PyTorch
Knowledge in Computer Vision, in one or more of the following domains: Multi-View Geometry (e.g. Structure-from-Motion, Multi-View Stereo, SLAM), Scene Understanding (3D Object Detection, Semantic Segmentation, Semantic Keypoints), Monocular/Stereo Depth Estimation, Semi / Weekly / Self-supervised Machine Learning, Computational Geometry
Excellent interpersonal skills, cross-group and cross-culture collaboration
Ability to communicate complex research in a clear, precise, and actionable manner
Must obtain work authorization in the 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 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
Experience working and communicating cross functionally in a team environment
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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the .
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Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a disability, fill out the

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