Staff Research Scientist, FAIR (RL / LLM's)

Meta is seeking Research Scientists to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. Individuals in this role are expected to be world-leading experts in research areas such as ML theory, responsible AI, reinforcement learning, computer vision, audio, and/or NLP. To learn more about our research, visit https://ai.meta.com/. Ideal candidates for these positions will have a track record in producing new science that is seminal to understanding intelligence, with particular experience in building and analyzing large-scale models for vision, language, speech, or general agents.

Responsibilities

Perform research to advance the science and technology of intelligent machines
• Perform research that enables learning the semantics of data (images, video, text, audio, codegen, and other modalities)
• Work towards long-term ambitious research goals, while identifying immediate milestones
• Influence progress of relevant research communities by producing publications
• Open source high quality code and produce reproducible research

Minimum Qualifications
• Currently has a PhD degree in the field of Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas
• Research publications reflecting experience in theoretical or empirical research
• Experience in developing and debugging in Python or similar programming languages
• Experience in analyzing and collecting data from various sources
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.