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, 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 sixteen (16) 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 understanding and reconstruction including dynamic deformations of soft tissues, cloth and hair* Pose estimation, body 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

　　Required Skills:

　　Research 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:

　　Minimum Qualifications:

　　Currently has, or is in the process of obtaining a PhD in Computer Vision, Graphics, Machine Learning, or related field.

　　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:

　　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.

　　Public Compensation:

　　$7,650/month to $11,333/month + benefits

　　Industry: Internet

　　Equal Opportunity:

　　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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

　　Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].