Summary:

　　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 sixteen (16) 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 modelsOur internships are twelve (12) to sixteen (24) weeks long and we have various start dates throughout the year.

　　Required Skills:

　　Research Scientist Intern, Rendering and Reconstruction (PhD) 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:

　　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:

　　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

　　Industry: Internet