About the Role

Meta is seeking a Research Scientist Intern to join the FAIR Language & Multimodal Foundations teams. The role focuses on advancing AI through research in multi-agent multimodal scenarios, including natural language processing, computer vision, and reinforcement learning. Interns will develop novel solutions, conduct experiments, and contribute to publications.

Key Responsibilities

• Perform research enabling better agents for multi-agent multimodal scenarios using text, audio, images, or video
• Brainstorm with research mentors, review literature, and analyze existing solutions for challenging research problems
• Develop novel solutions, implement prototypes, and perform extensive experiments with benchmarks and metrics
• Draft and polish research reports and publications
• Present research outcomes to internal or external audiences

Required Skills & Qualifications

Must Have:

• Currently has or is in the process of obtaining a PhD in NLP, Speech Processing, Computer Vision, Machine Learning, AI, or equivalent
• Research or work experience in NLP, Speech Processing, Computer Vision, Machine Learning, Deep Learning, or Reinforcement Learning
• Experience in Python, C++, or other related programming languages
• Must obtain work authorization in the country of employment at hire and maintain it during employment

Nice to Have:

• Experience advancing AI techniques in NLP, Speech & Language, Machine Learning, Reinforcement Learning, or Computer Vision, including open-source contributions
• Proven track record with publications at leading conferences like NeurIPS, ICML, ACL, CVPR, or ICASSP
• Experience manipulating and analyzing complex, large-scale, high-dimensional data from varying sources
• Experience using theoretical and empirical research to solve problems
• Experience working and communicating cross-functionally in a team environment
• Intent to return to degree program after the internship