AI Researcher

2 days ago


Pittsburgh, Pennsylvania, United States META Full time
About the Role

Meta is seeking a highly skilled Visiting Researcher to join the Fundamental AI Research (FAIR) team, a research organization focused on advancing the state-of-the-art in AI. The ideal candidate will have a strong background in machine learning, artificial intelligence, computational statistics, and applied mathematics, with a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence.

Key Responsibilities
  • Advance AI Research: Perform research to advance the science and technology of intelligent machines, with a focus on enabling learning the semantics of data (images, video, text, audio, and other modalities).
  • Collaborate with Cross-Functional Partners: Work towards long-term ambitious research goals, while identifying immediate milestones, and initiate research projects within a team environment.
  • Produce High-Quality Publications: Influence progress of relevant research communities by producing high-quality publications, and open source high-quality code and produce reproducible research.
Requirements
  • Education: Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field, or equivalent practical experience.
  • Experience: PhD degree in AI, computer science, data science, or related technical fields, with experience holding an industry, postdoctoral, faculty, or government researcher position.
  • Research Background: Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics, or related areas, with a proven track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research.
  • Work Authorization: Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
  • Research and Engineering Experience: Research and engineering experience demonstrated via publications, grants, fellowships, patents, work experience, open source code, and/or coding competitions.
  • First-Author Publications: First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, FacCT, CCS, IEEE S&P, and other similar venues.
  • Complex Problem-Solving: Experience in solving complex problems, proposing novel solutions, and comparing alternative approaches, trade-offs, and diverse points of view.
  • Leadership and Communication: Experience in leading, planning and coordinating long-term research projects in a team environment, and communicating research findings to public audiences of peers.

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