Facebook Visiting Researcher PhD FAIR 

France, Ile-de-France 

636045686

Perform research to advance the science and technology of intelligent machines.

Perform research that enables learning the semantics of data (images, video, text, and other modalities).

Develop algorithms and models based on state-of-the-art machine learning advancements.

Currently has or is in the process of obtaining a PhD degree in the field of Computer Science, relevant technical field, or equivalent practical experience.

Experience solving analytical problems using quantitative approaches.

Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.

Experience in machine learning and optimization.

Familiarity with deep learning libraries like PyTorch.

Publications in peer-reviewed AI conferences (e.g. CVPR, ECCV, ICCV, NeurIPS, ICLR, or SIGGRAPH, etc.).

Experience in theoretical and empirical research and in addressing research problems.

Experience with communicating complex research in a clear, precise, and actionable manner.

First author publications at peer-reviewed AI conferences (e.g. CVPR, ECCV, ICCV, NeurIPS, ICLR, or SIGGRAPH, etc.).

Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.

Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.

Experience working and communicating cross functionally in a team environment.

Experience communicating research for public audiences of peers.