Research Intern, Core Machine Learning AI

Research Intern, Core Machine Learning AI
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Facebook was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization. Facebook is seeking Research Interns to join Facebook AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Many of our interns publish at top tier conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL. This internship has a minimum 12-week duration. We have openings in our Menlo Park, New York, Seattle, and Pittsburgh offices. Internships will be awarded on a rolling basis and candidates are encouraged to apply early. Applicants are expected to be pursuing a PhD in one of the areas listed above; outstanding Masters students may also be considered. To learn more about our research visit https://research.facebook.com.
Research Intern, Core Machine Learning AI Responsibilities
  • Perform research to advance the science and technology of intelligent machines
  • Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
  • Devise better data-driven models of human behavior, and/or
  • Contribute research that can be applied to Facebook product development
Minimum Qualifications
  • Currently has, or is in the process of obtaining, a PhD or Masters in Computer Science or related field
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications
  • Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
  • Experience solving analytical problems using quantitative approaches
  • Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources
  • Experience in utilizing theoretical and empirical research to solve problems
  • Ability to communicate complex research in a clear, precise, and actionable manner
  • Knowledge in C, C++, Python, Lua or other related programming language
  • Experience building systems based on machine learning and/or deep learning methods
  • Intent to return to degree-program after the completion of the internship/co-op
Locations
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.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.