[Remote] Research Scientist Intern, Modern Recommendation Systems (PhD)

Note: The job is a remote job and is open to candidates in USA. Meta is a technology company that helps people connect and share, and they are seeking Research Interns for their Modern Recommendation Systems AI Innovation Center. The role involves conducting original research in recommendation systems, collaborating with cross-functional teams, and developing video understanding models to enhance user experience across Meta's platforms. Responsibilities • Initiate and lead efforts towards long-term ambitious research goals, while identifying intermediate milestones in the area of recommendation systems and models, user and content understanding and multi-modal (video, audio, and text) LLM analysis for classification and relevance use cases • Conduct original research that can eventually be applied to Meta product development, engage with the wider research community, including publishing and releasing open source software where appropriate • Design, train and support video understanding libraries and models to implement new features and functionality for use internally at Meta • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results Skills • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment • Experience with Python, with experience in machine learning libraries such as Pytorch • Familiarity with AI/ML modeling techniques (e.g., LLM, RAG, LSTM, GRU, Transformers) and/or its acceleration for large scale use cases • Experience building systems based on machine learning and/or deep learning methods • Intent to return to the degree program after the completion of the internship/co-op • Proven 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, KDD, ICML, SIGIR, WSDM, RecSys, CIKM, CVPR, ECCV, ACL, EMNLP, ICASSP, or similar • Experience working and communicating cross functionally in a team environment • Prior research or project experience in sequence modeling, recommendation systems, or user modeling • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) Benefits • Benefits Company Overview • Meta's mission is to build the future of human connection and the technology that makes it possible. It was founded in 2004, and is headquartered in Menlo Park, CA, US, with a workforce of 10001+ employees. Its website is Apply tot his job