Meta is seeking a Visiting Senior Research Scientist, through a short term contract, to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. Individuals in this role are expected to be passionate about producing new science that is seminal to understanding intelligence, and more specifically about building and analyzing models for vision, language, speech, or general agents. The chosen candidate will work with a highly interdisciplinary team of scientists, engineers, and cross-functional partners with a broad range of experiences, perspectives, approaches, and backgrounds, will have access to cutting edge technology, resources, and research facilities, and will have ample opportunities to disseminate their work publicly.Visiting Senior Research Scientist Responsibilities

• 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

Minimum Qualifications

• Currently has a PhD 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
• 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

Preferred Qualifications

• Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.
• Senior author publications at peer-reviewed AI conferences (e.g. CVPR, ECCV, ICCV, NeurIPS, ICLR, or SIGGRAPH, etc.).
• Experience working and communicating cross functionally in a team environment.
• Experience with communicating complex research in a clear, precise, and actionable manner.

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