PhD Student, AI

2 weeks ago

London, Greater London, United Kingdom Facebook Full time
Meta is seeking a PhD Student to join its Fundamental AI Research (FAIR) team in London. We are committed to advancing the field of artificial intelligence by making fundamental advances in scientific methods and technologies to help interact with and understand our world. In London we are specifically working on natural language processing, 3D computer vision and reinforcement learning. For this position we are looking for an individual passionate in furthering our understanding of large foundation models and making them safer and more accurate.PhD positions are 4-year fixed-term for PhD students in London who will work in collaboration with the UCL Centre for Artificial Intelligence, jointly supervised by academics at this lab and research scientists at FAIR. In the spirit of FAIR's general mission, we expect the work to come out of the PhD, both at Meta and the academic partner, to be open science and open source.For questions regarding the UCL application procedure, please contact

PhD Student, AI Responsibilities:

  • Perform research to advance the science and technology of intelligent systems.
  • Perform research to understand the mechanisms learned by foundation models.
  • Influence progress of relevant research communities by producing publications.
  • Collaborate and increase productivity on existing research projects.
Minimum Qualifications:

  • Knowledge in Machine Learning.
  • Knowledge in a programming language.
  • Must obtain work authorisation in the country of employment at the time of hire, and maintain ongoing work authorisation during employment.
  • Applicants will need to separately apply and be accepted to UCL, and mention their FAIR application in the UCL application form.
Preferred Qualifications:

  • Bachelors or Masters degree (or equivalent) in a technical field such as Computer Science, Applied Mathematics, or equivalent practical experience.
  • Experience building systems based on machine learning and/or deep learning methods.
  • Research and software engineer experience demonstrated via an internship, work experience, coding competitions, or open-source contributions.
  • Knowledge in Python, Lua, C++, C, C# and/or Java
  • Publications or experience in fields related to machine learning, AI, computer vision, natural language processing, computational neuroscience, optimisation, computer science, statistics, applied mathematics, or data science.

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