Research Scientist Intern, Monetization… at Meta · Menlo Park

Summary: Meta 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. We are seeking individuals passionate in areas such as deep learning and machine learning to make core algorithmic advances and apply their ideas at an unprecedented scale. 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: Python, C++, C, Java, PyTorch, TensorFlow, Deep Learning, Machine Learning, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, Reinforcement Learning, Large Language Models, Multimodal Reasoning, Visual Question Answering, Data Analysis Benefits: Benefits