Postdoctoral Researcher, Artificial Intelligence (PhD)

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Postdoctoral Researcher, Artificial Intelligence (PhD)
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Paris, France
Facebook is seeking a Postdoctoral Researcher to join Facebook AI Research, a research organization focused on making fundamental progress in AI. Facebook AI Research (FAIR) conducts cutting-edge research to deepen our understanding of existing AI methods and advance the state-of-the-art. For this position, the applicant will engage with the supervisor and other researchers in Facebook AI Research (FAIR) to develop and implement research agenda, publish world-class research works, and make external impact. You will apply high standards to the research and develop an ability to identify highly impactful projects in a complex and unexplored domain. You will be able to gain valuable experience in a top-tier research institute, publish academic papers on a regular basis, and build your reputation across the world. Postdoc research areas may include Machine Learning, Computer Vision, Natural Language Processing, Speech & Audio, Conversational AI, Theory, Reinforcement Learning, Robotics, Graphics, Human & Machine Intelligence, in particular, social impact of such fields and responsible AI will be a cross-sectional theme regardless of the specific area of study. Postdoc positions are one year fixed-term positions, and we have opportunities across several regions. We will interview during the following hiring windows in 2022.
Postdoctoral Researcher, Artificial Intelligence (PhD) Responsibilities
  • Conduct research on topics in responsible AI, fairness, robustness, transparency and social impact of AI technologies.
  • Contribute to understanding and auditing existing machine learning models using a range of techniques ranging from research surveys to algorithmic and technical developments.
  • Write and debug high-quality research code and research papers.
  • High quality papers and present research at conferences.
  • Collaborate with your supervisor and other researchers to discuss, develop and implement research agenda
  • Design and implement experiments to test research ideas on a variety of problems in responsible AI.
Minimum Qualifications
  • Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in Computer Science or a similar field, candidates with social science background who have demonstrated a deep technical knowledge in areas statistics and machine learning. Degree must be completed prior to joining Meta.
  • Research background in Machine Learning, Natural Language Processing, Computer Vision, Speech, Robotics, Graphics, or similar field. Deep interest in cross-disciplinary communication towards conducting research in socio-technical systems and responsible AI.
  • Experience solving analytical problems using analytic and quantitative approaches.
  • Interpersonal experience: cross-group and cross-culture collaboration
  • Experience coding in C/C++, Python, C#, or other similar language.
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications
  • Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as publications in FAccT, AIES, *ACL, as well as affinity workshops at machine learning conferences (e.g. NeurIPS, ICML).
  • 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 communicating research for public audiences of peers.
  • Experience working and communicating cross functionally in a team environment.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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