Research Scientist Intern, Body Capture, Reconstruction and Understanding (PhD)

Research Scientist Intern, Body Capture, Reconstruction and Understanding (PhD)
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 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. Research Topics: * Virtual humans, avatar creation * Full body capture, understanding and reconstruction including dynamic deformations of soft tissues, cloth and hair * Markerless motion capture, body shape inference, dense correspondence learning * Neural representations and deep implicit models * Multi-view stereo reconstruction, dynamic surface reconstruction, non-rigid registration * Deep learning applied to image, depth and 3D data * Realistic rendering, perceptual evaluation
Research Scientist Intern, Body Capture, Reconstruction and Understanding (PhD) Responsibilities
  • Design and execution of algorithms.
  • Investigate, design and develop novel algorithms in areas such as body capture, tracking, reconstruction, semantics, 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, Robotics, or related field.
  • Must obtain work authorization in 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 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.
  • Proven track record of achieving results as demonstrated in accepted papers at top computer vision, graphics, machin
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.
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
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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

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, you may contact us at
Let us know you're interested
Share your resume or LinkedIn profile with our recruiting team and create personalized job alerts.