Meta AR/VR Job | Research Scientist, Digital Humans (PhD)
Job（岗位）: Research Scientist, Digital Humans (PhD)
Type（岗位类型）: Computer Vision, Research
Citys（岗位城市）: Sausalito, CA
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
The Facebook Reality Labs (FRL) 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 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 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.
Qualifications（岗位要求）
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
Description（岗位职责）
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
Additional Requirements（额外要求）
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, machine learning or robotics related journals and conferences such as CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH, ICRA, etc.
