Meta is seeking Research Scientists to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in AI, specifically in building new architectures and training paradigms to push the frontier of advanced machine intelligence.
Requirements
- Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas
- Experience in developing and debugging in Python or similar programming languages
- First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, ACL, EMNLP, and other similar venues, reflecting experience in LLM pretraining
- Experience in developing optimization algorithms and theory, new architectures, and generative AI
- Research and engineering experience demonstrated via publications, grants, fellowships, patents, internships, work experience, open source code, and / or coding competitions
Responsibilities
- Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
- Perform research to advance the science and technology of intelligent machines
- Work towards long-term ambitious research goals, while identifying intermediate milestones
- Influence progress of relevant research communities by producing publications
- Open source high quality code and produce reproducible research
Other
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- A PhD in AI, computer science, data science, or related technical fields
- 1+ years experience holding an industry, postdoctoral, faculty, or government researcher position
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
