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Meta AI is seeking Research Interns to join its AI for Product teams. These teams are a part of an AI Innovation Center for recommendations and collaborate closely with FAIR, other research teams (e.g. user understanding, core ML/ RL, etc.), as well as product teams for the Family of Apps (FB, IG, WhatsApp).When you join our team, you are working to advance the state of the art in core disciplines such as: retrieval, ranking, clustering, search, and multi-modal fusion problems, often in zero-shot/ few-shot settings, natural language understanding and generation, video understanding, as well as speech & audio processing. Together with product teams, we deploy these systems at scale to recommend the most relevant content to our users by improving existing approaches and incubating novel capabilities.The opportunities and challenges of this work are immense. Our work needs to demonstrate state of the art performance on shared tasks where available, while being applicable at Meta scale, so that we can serve our customers. Examples of our past work include sentiment analysis, temporal modeling in videos, improvements to masked auto-encoders in video and audio, etc., using both internal and external (public) data and tools.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com.
Research Scientist Intern, AI Applied Research – Machine Learning (PhD) Responsibilities: Apply cutting-edge algorithms to a wide range of media understanding challenges at Meta’s Family of AppsPerform state of the art research to advance the science and technology of Machine Learning and Artificial IntelligenceDevise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio)Publish research results and contribute to research that can be applied to Meta product developmentCollaborate with researchers and engineers across diverse disciplinesMinimum Qualifications:Currently has, or is in the process of obtaining a PhD degree in the field of Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Mathematics, or similarMust obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employmentExperience with Python, C++, Java or other related languageExperience with deep learning frameworks such as Pytorch or TensorflowPreferred Qualifications:Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approachesML/ AI research and/ or work experience in information retrieval problems, generative approaches, and/ or Natural Language Processing, CV, or Speech/ AudioAbility to communicate complex research in a clear, precise, and actionable mannerExperience creating and optimizing large-scale systems based on Machine Learning (Deep Learning) methodsIntent to return to a degree-program after the completion of the internship/co-opProven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similarDemonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)Experience working and communicating cross functionally in a team environmentMeta 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
