The Reality Labs (RL) Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including computer vision, graphics, body tracking, perception science, and true telepresence. The Virtual Humans team in Sausalito, CA, Redmond, WA and Zurich, CH work on cutting-edge research and development focusing on virtual people and presence. We envision a world where people connect across vast distances so our roles focus on capturing, evaluating and modeling the full human body shape and motion. We are currently seeking innovative interns with a passion for technology to develop the next generation of virtual humans.
Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.
Research Topics:
* Virtual humans, animatable avatar creation
* Full body capture, reconstruction and rendering including dynamic deformations of soft tissues, cloth and hair
* Pose estimation, shape inference, surface detail reconstruction, photoreal rendering and novel view synthesis
* Deep learning applied to image, depth and 3D data for monocular and multi-view stereo reconstruction of dynamic surface
* Neural representations and deep implicit models
Research Scientist Intern, Body Capture, Reconstruction and Rendering (PhD) Responsibilities
Design and execution of algorithms
Investigate, design and develop novel algorithms in areas such as body capture, tracking, reconstruction, generative models for clothed humans and deformable objects (soft tissue, clothes, hair)
Prototyping, building and analysis of experimental systems
Collaboration with and support of 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 in Computer Vision, Graphics, Machine Learning, or related field
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Interpersonal skills: cross-group and cross-culture collaboration
Experience with computer vision, deep learning, 3D geometry and/or linear algebra
2+ years of experience with C, C++, and/or Python
Preferred Qualifications
Intent to return to a degree-program after the completion of the internship
2+ years of experience with one or more of the following areas: developing models for neural human reconstruction, human body learning, dynamic shape representation, numerical optimization, deep learning
Experience working and communicating cross functionally in a team environment Proven track record of achieving results as demonstrated in accepted papers at top computer vision, graphics, machine learning or robotics related journals and conferences such as CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH, etc.
For those who live in or expect to work from California if hired for this position, please click
here for additional information.
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.
$7,800/month to $11,293/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about
benefits at Meta.
Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action 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
here.
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 support, please reach out to
accommodations-ext@fb.com.