Meta AR/VR Job | AI Research Scientist Intern (PhD) | Quest
Job（岗位）: AI Research Scientist Intern (PhD) | Quest
Type（岗位类型）: Computer Vision
Citys（岗位城市）: Paris, France
Date（发布日期）: 2023-5-27
Summary（岗位介绍）
Meta is seeking Research Interns to join our Natural Language Processing teams. These teams are part of the Facebook AI Research (FAIR) organization within Meta, working to accelerate science, by leveraging state-of-the-art NLP and Language Modeling at scale. The opportunities and challenges of this work are immense as it can have a direct impact on the accessibility and practice of science, at scale.
Our research spans multiple areas across NLP and machine learning, including deep learning, language modeling, natural language understanding and generation, self-supervision, question answering & reasoning (STEM), information retrieval, factual consistency and continual learning.
As a Research Intern, you will help us apply cutting-edge NLP algorithms to a wide range of media understanding challenges at Meta AI.
Our team at Meta AI offers 2023 internship opportunities with start dates from July to October. To learn more about our research, visit https://research.facebook.com.
Qualifications（岗位要求）
Currently has, or is in the process of obtaining a PhD degree (or equivalent) in the field of Machine Learning, Artificial Intelligence, Natural Language Processing or similar
Experience in Python
Research and/or work experience in machine learning, deep learning, and/or Natural Language Processing
Experienced with training and/or playing with Large Language Models
Description（岗位职责）
Perform research to advance Language Models technology
Additional Requirements（额外要求）
Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ACL, EMNLP, NAACL, AAAI, ICML, NeurIPS, ICLR or similar
A strong interest in theoretical and empirical research and for answering hard questions with research
Interpersonal experience: cross-group and cross-culture collaboration
Experienced with the development of enterprise-level AI, machine learning and deep learning systems, involving big data management and GPU compute
