• 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.
Responsibilities
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
Minimum Qualifications
• 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
Preferred Qualifications
• 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
• Fluent in Python and PyTorch (or equivalent)
