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About the role

Research Scientist Intern, Language and Agents (PhD) at Meta

Required Skills

pythondeep learninggenerative aimachine learningcomputer visionnatural language processingreinforcement learningresearchpublications

About the Role

This is a PhD-level research scientist internship focused on advancing generative AI technologies, particularly in language and agents. The intern will develop novel algorithms, collaborate with cross-functional teams, and contribute to research that may impact Meta's products. The role involves working with various data modalities and requires strong machine learning and programming skills.

Key Responsibilities

  • Develop novel state-of-the-art generative AI algorithms and systems using deep learning techniques
  • Analyze and improve efficiency, scalability, and stability of deployed algorithms
  • Perform research to advance the science and technology of intelligent machines
  • Collaborate with researchers and cross-functional partners, communicating plans and results
  • Disseminate research results and contribute to research applicable to Meta product development

Required Skills & Qualifications

Must Have:

  • Currently has or is in the process of obtaining a Ph.D. in Computer Science, AI, Generative AI, or related technical field
  • Must obtain work authorization in the country of employment at hire and maintain it during employment
  • Experience with Python, C++, C, Java, or other related programming languages
  • Experience building systems based on machine learning and/or deep learning methods

Nice to Have:

  • Intent to return to the degree program after the internship
  • Proven track record of significant results (grants, fellowships, patents, first-authored publications at leading conferences)
  • Experience working and communicating cross-functionally in a team environment
  • Experience advancing AI techniques, including contributions to open source libraries in computer vision
  • Experience solving analytical problems using quantitative approaches and setting up ML experiments
  • Experience manipulating and analyzing complex, large-scale, high-dimensional data
  • Experience utilizing theoretical and empirical research to solve problems
  • Experience with deep learning frameworks

Benefits & Perks

  • $7,650 to $12,134/month compensation
  • Benefits package (details available through Meta)