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Meta is on the lookout for exceptional Research Scientists to be part of its Fundamental AI Research (FAIR) division, dedicated to pioneering advancements in Human-inspired AI. This role encompasses the creation of benchmarks and tasks that facilitate direct comparisons between human capabilities and machine performance on complex tasks such as reasoning, learning, and world modeling. Additionally, it involves designing algorithms that emulate human learning processes, particularly in environments characterized by sparse, unlabeled, and noisy data. Our team is committed to publishing influential research and developing frameworks and libraries that significantly contribute to the open-source community, promoting the evolution of AI in conjunction with the exploration of natural intelligence. We are particularly interested in candidates with a diverse background in machine learning, cognitive science, developmental science, or language science to enhance our research endeavors in human-inspired AI.

Key Responsibilities of the Research Scientist in Human-inspired AI:
  • Drive research initiatives aimed at enhancing the science and technology of intelligent systems.
  • Publish cutting-edge research findings in prestigious machine learning and cognitive science journals.
  • Engage in independent research that explores the interplay between AI and the science of learning in biological entities.
  • Set ambitious long-term research objectives while identifying and achieving intermediate goals.
  • Lead and collaborate on research projects with a globally distributed team.
  • Contribute high-quality code and reproducible research outcomes to the community through open-source platforms.
Minimum Qualifications:
  • Currently pursuing or holding a PhD in mathematics, statistics, computer science, cognitive science, or language science, with a robust foundation in both theoretical and empirical research.
  • Strong enthusiasm for interdisciplinary collaboration in the realm of human-inspired AI research.
  • Experience with scalable machine learning frameworks, efficient AI data handling, and algorithm optimization.
  • Ability to communicate complex research concepts effectively to diverse audiences.
  • Familiarity with deep learning tools such as Pytorch, Jax, or Tensorflow.
  • Must possess work authorization in the country of employment at the time of hire and maintain it throughout employment.
Preferred Qualifications:
  • Demonstrated success in achieving notable outcomes, evidenced by grants, fellowships, and publications in top-tier conferences and journals.
  • Research and software engineering experience through internships, professional roles, coding competitions, or significant contributions to open-source projects.
  • Proficiency in solving analytical challenges using quantitative methodologies.
  • Experience in handling and analyzing complex, large-scale, high-dimensional data from diverse sources.
  • Ability to apply both theoretical and empirical research to address real-world problems.
  • Experience in optimization techniques utilizing machine learning and deep learning approaches.
  • Skill in navigating complex problem-solving scenarios, weighing alternative solutions, trade-offs, and diverse perspectives to determine effective strategies.
  • Experience in cross-functional teamwork and effective communication within collaborative environments.
About Meta:

Meta is committed to developing technologies that empower individuals to connect, discover communities, and expand their businesses. Since the launch of Facebook in 2004, we have transformed the way people interact. Our applications, including Messenger, Instagram, and WhatsApp, have enabled billions globally. As we transition beyond traditional 2D interfaces towards immersive experiences such as augmented and virtual reality, we aim to shape the future of social technology. Those who choose to build their careers with us at Meta contribute to a vision that transcends current digital connections, overcoming the limitations of screens, distance, and even the laws of physics.


Individual compensation is determined by skills, qualifications, experience, and location. Compensation details reflect the base hourly rate, monthly rate, or annual salary only, excluding bonuses, equity, or sales incentives, if applicable. In addition to base compensation, Meta provides a comprehensive benefits package. Learn more about benefits at Meta.