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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.
Job Responsibility:
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research
Work towards long-term ambitious research goals, while identifying intermediate milestones
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
Work with a large team
Contribute to publications and open-sourcing efforts
Mentor other team members
Play a significant role in healthy cross-functional collaboration
Prioritize research that can be applied to Meta's product development
Push state of the art in multimodal generative AI
Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants
Mentor and work with AI/ML engineers to find a path from research to production
Requirements:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
A PhD in AI, computer science, or related technical fields
Publications in machine learning, computer vision, NLP, speech
Experience writing software and executing complex experiments involving large AI models and datasets
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Nice to have:
First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
Direct experience in generative AI and LLM research