Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Summary: Meta is a company focused on helping people connect and share, with a commitment to advancing artificial intelligence technologies. They are seeking a Research Scientist Intern to perform research on intelligent machines, develop NLP algorithms, and collaborate with cross-functional teams to apply research to product development. Responsibilities: - Perform research to advance the science and technology of intelligent machines - Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources - Analyze and improve efficiency, scalability, and stability of various deployed systems - Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results - Publish research results and contribute to research that can be applied to Meta product development Required Qualifications: - Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field - Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment - Experience with Python, C++, C, Java or other related language - Experience with deep learning frameworks such as Pytorch or Tensorflow - Experience building systems based on machine learning, deep learning methods, or natural language processing Preferred Qualifications: - Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute - Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar - Experience with Large Language Models, on top of the latest research of text only input and multimodal input to large language models - Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, Visual Question & Answering - Experience building systems based on machine learning, reinforcement learning and/or deep learning methods - Experience working and communicating cross functionally in a team environment - Experience with training deep neural networks for key NLP tasks - Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) - Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources - Intent to return to degree program after the completion of the internship/co-op Required Skills: Ph.D. in relevant field, Python, Deep Learning frameworks, Machine Learning systems, Natural Language Processing Important Skills: C++, C, Java, Reinforcement Learning, Big Data Management, Large Language Models Nice-to-Have Skills: Software Engineering experience, Data analysis, Cross-functional collaboration Benefits: Benefits