Computer Science Research Scientist

About the Role: Computer Science Research Scientist

As a Computer Science Research Scientist at Meta, you will be instrumental in advancing the state of the art in contextual AI, particularly for AR/VR applications. This role focuses on cutting-edge research in language models, Natural Language Understanding (NLU), Natural Language Generation (NLG), question answering, and information extraction.

Responsibilities

• Conduct research to advance the state of the art in language models, NLU, NLG, question answering, and information extraction, with a focus on AR/VR applications.
• Design and execute experiments, including coding, evaluation, and analysis of results.
• Collaborate closely with cross-functional teams of researchers, engineers, and product managers within RLR and Meta.
• Contribute to scientific publications, internal knowledge sharing, and open-source projects.
• Support the identification of research goals aligned with the Surreal team’s product and technology roadmap.
• Participate in mentoring and knowledge transfer within the team.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Technical skills in building and experimenting with deep learning models or data pipelines.
• Ability to independently define and execute research projects.
• Solid track record of delivering research outcomes.

Preferred Qualifications

• Advanced degree (Master’s or PhD preferred) in Computer Science, Computational Linguistics, or related fields.
• Experience with NLP, large language models, or related AI research.
• Familiarity with research publication processes is a plus.
• Experience collaborating in cross-functional teams, including product, engineering, and research.
• Experience building text-to-video generative models, image-to-video generative models, video understanding models, and/or unified native video generative models.

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.

Key skills/competency

• Language Models
• Natural Language Understanding (NLU)
• Natural Language Generation (NLG)
• Question Answering
• Information Extraction
• Deep Learning
• AR/VR Applications
• Experimentation Design
• Cross-functional Collaboration
• Scientific Publication