Research Scientist Intern,AI Core Machine Learning (PhD)

  • CDD
  • Paris
  • Publié il y a 2 ans
  • Les candidatures sont actuellement fermées.
Meta AI (FAIR), a world-class research lab, is seeking Research Interns to join our research teams to work on challenging problems that would require strong research and engineering skills to achieve a deep understanding of the problems, develop innovative approaches, and scale up with massive data and compute. Our efforts are to push the bar in the following research directions: Computer Vision, Natural Language Processing, Speech, Reinforcement Learning & Reasoning, Core Machine Learning and Creativity. We are proposing Summer, Fall, and Winter start dates. Internships will be awarded on a rolling basis and candidates are encouraged to apply early.To learn more about our research, visit https://research.facebook.com.

Research Scientist Intern,AI Core Machine Learning (PhD) Responsibilities:

  • Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem.
  • Develop novel solutions, implement prototypes and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions.
  • Communicate and discuss with team members about various aspects of the project. This includes answering questions, addressing concerns, improving solutions, etc.
  • Draft research publications.
  • Present research outcomes to internal and external audiences.

Minimum Qualifications:

  • Currently has, or is in the process of obtaining a PhD degree.
  • Experience in Python, C++ or other related languages.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorisation during employment

Preferred Qualifications:

  • Strong publication records in specific fields (e.g., high impact research works published on top-tier conferences, popular github repositories, etc)
  • Intent to return to degree-program after the completion of the internship/co-op
  • Extensive experience solving analytical problems using quantitative approaches
  • Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • Ability to communicate complex research in a clear, precise, and actionable manner
  • Experience building large-scale machine learning systems and training with large datasets.

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