Research Scientist Intern, Rendering and Reconstruction

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 and Zurich, CF works 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 full body capture and reconstruction. We are currently seeking innovative interns with a passion for rendering and innovative 3D representations and capture technologies.

Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.

Research Topics:
* 3D human digitization
* Facial capture
* Virtual telepresence
* Applied deep learning
* Advanced shading models
* Neural and differentiable rendering
* Implicit modelsResearch Scientist Intern, Rendering and Reconstruction Responsibilities

• Design and execution of algorithms
• 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, Computer Graphics, Machine Learning or related fields
• 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 neural rendering, implicit representations, deformation models, lightstage geometry reconstruction, or forward and inverse rendering of physically based shading models

Preferred Qualifications

• Intent to return to degree-program after the completion of the internship
• 2+ years of experience with 3D geometry reconstruction and representation, BRDF and light transport algorithms, or machine learning
• Experience with Deep Learning
• Proven track record of achieving results as demonstrated in accepted papers at top computer vision, computer graphics or machine learning related conferences such as CVPR, ECCV, ICCV, NeurIPS, SIGGRAPH, EGSR, etc

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$7,650/month to $12,134/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 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