Website Meta
Responsibilities
Research, develop and prototype advanced technologies in the domain of Computer Vision, Graphics, and Machine Learning.
Deliver research results that are both publishable and have a direct impact on Meta products.
Analyze the efficiency, accuracy, scalability, and stability of currently deployed technologies to identify opportunities for impact through novel research.
Collaborate with team members throughout the lifetime of a project.
Minimum Qualifications
Currently is in the process of obtaining a PhD degree in Computer Science, Electrical Engineering, or related fields.
1+ year of experience in one or more areas of Computer Vision, Computer Graphics, and Machine Learning.
2+ years of experience with modern C++ and/or Python.
1+ year of experience with deep learning frameworks such as PyTorch.
Must obtain full-time work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment for a minimum of 12 weeks.
Preferred Qualifications
Intent to return to their degree program after the completion of the internship.
Interpersonal experience: cross-group and cross-culture collaboration.
Strong communication skills and ability to convey research ideas to a broad audience.
Broad understanding of the full machine vision pipeline from sensors to high-level algorithms.
Mathematical background and understanding of linear algebra, numerical optimization, probabilistic estimation, Understanding of 3D geometry.
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as co-authored publications at top-tier conferences such as CVPR, ECCV, ICCV, SIGGRAPH, SIGGRAPH Asia, NeurIPS, ICLR, ICML, etc.
Relevant research or software engineering work experiences, including internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
Experience with using modern graphics libraries such as OpenGL, Vulkan, and 3D deep learning libraries such as Pytorch3D.
