Postdoctoral Researcher, Fundamental AI Research (PhD)

Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making fundamental progress in AI. Individuals in this role are expected to conduct cutting-edge research in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, computer perception, natural language processing, representation learning, optimization, reinforcement learning, privacy in machine learning, security of AI systems, foundations of generative modeling, compression and information theory, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence.

Responsibilities

• Directly contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results
• Contribute to publications and open-sourcing efforts
• Work with a large team and play a significant role in healthy cross-functional collaboration
• Help identify long-term ambitious research goals as well as intermediate milestones
• Prioritize research that can be applied to Meta's product development

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Currently has or is in the process of obtaining a PhD degree in Computer Science or a similar field. Degree must be completed prior to joining Meta
• Research background in machine learning, natural language processing, computer vision, computational statistics, applied mathematics, physics, or related areas
• Track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research
• Experience solving analytical problems using analytic and quantitative approaches
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ACL, NAACL, EMNLP, or similar)
• Experience communicating research for public audiences of peers. Experience working and communicating cross functionally in a team environment
• Experience solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward
• Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions