Research Intern (AI) - Tel Aviv

Facebook wordmarkFacebook wordmarkFacebook
Research Intern (AI) - Tel Aviv
Facebook wordmarkFacebook wordmarkFacebook
Location pin icon
Tel Aviv, Israel
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 scientific methods and 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 NIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL, and EMNLP. This internship has a minimum 12-week duration beginning in January. 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, as will B.S. candidates intending to enroll in a graduate program at the conclusion of the internship. To learn more about our research, visit: https://research.fb.com/category/facebook-ai-research-fair
Research Intern (AI) - Tel Aviv Responsibilities
  • Perform research to advance the science and technology of intelligent systems.
  • Perform research that improves understanding and representation of the semantics of data (images, video, text, audio, and other modalities).
  • Devise data-driven models of human behaviour.
  • Influence progress of relevant research communities by producing publications.
  • Collaborate and increase productivity on existing research projects.
Minimum Qualifications
  • Currently has, or is in the process of obtaining, a(n) Masters / PhD degree.
  • Publications or experience in fields related to in machine learning, AI, computer vision, natural language processing, computational neuroscience, optimisation, computer science, statistics, applied mathematics, or data science.
  • Experience solving analytical problems using quantitative approaches.
  • Ability to manipulate and analyse large scale, high-dimensionality data from varying sources.
  • Experience in utilising theoretical and empirical research to solve problems.
  • Ability to communicate research for public audiences of peers.
  • Knowledge in a programming language.
Preferred Qualifications
  • Intent to return to degree-program after the completion of the internship / co-op.
  • Pursuing a Ph.D. degree in Computer Science or related field.
  • First-author publications at peer-reviewed AI conferences (e.g. NIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL, and EMNLP).
  • Experience building systems based on machine learning and/or deep learning methods.
  • Research and software engineer experience demonstrated via an internship, work experience, or coding competitions.
  • Knowledge in Python, Lua, C++, C, C# and/or Java.
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.
Related Job Openings
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.