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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
Requirements:
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
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
Nice to have:
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