Meta AR/VR Job | Research Scientist Intern, Computer Vision and Machine Learning (PhD)
Type（岗位类型）: Computer Vision | Hardware, Machine Learning, Research
Citys（岗位城市）: Sunnyvale, CA
Meta Reality Labs brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to ship products at scale. In particular, seemingly impossible products that define new categories that advance Meta’s mission of connecting the world.
The Reality Labs Technology Engineering Camera Team seeks exceptional Interns with a background in Computer Vision, Machine Learning or Computer Graphics. The primary role of this internship is to design AR/VR algorithms for Meta products.
Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.
Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Electrical Engineering, Mathematics, Physics, or related fields
Prior experiences in one or more topics related to: image understanding(image/video segmentation, object detection/tracking), depth estimation(stereo/RGBD) or scene rendering(NeRF and alike), computational photography/3A algorithms
Proven track record of achieving results as demonstrated by co-authored publications at conferences such as CVPR/ECCV/ICCV, SIGGRAPH(Asia), NeurIPS/ ICLR/ICML etc
Interpersonal skills: cross-group and cross-culture collaboration
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Research, develop and prototype advanced technologies in the domain of computer vision, machine learning, computational photography and computer graphics.
Advance academic excellence and make a direct impact on Meta products.
Intent to return to degree-program after completion of the internship/co-op
A strong interest in theoretical and empirical research and for answering hard questions in research
Ability to communicate complex research in a clear, concise and actionable manner
Proven track record of achieving significant results as demonstrated by first authored publications at top-tier conferences such as CVPR/ECCV/ICCV, SIGGRAPH(Asia), NeurIPS/ ICLR/ICML etc