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.Meta is seeking a Software Engineer to join our Create AIs team to build products using Large Language Models (LLM). We are looking for recognized experts in NLP, with experience in areas like large model training; reinforcement learning; LLM alignment; explainable AI; language model evaluation; multilingual and multimodal modeling; and/or responsible data processing. The ideal candidate will have an interest in producing and applying new science to help us build innovative and engaging products with large language models.

• Collaborate, and execute on research that pushes forward the state of the art in responsible large language model research
• Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
• Develop methodology and benchmarks to evaluate different approaches
• Work with a large and globally distributed team

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Experience holding an industry, faculty, or government researcher position
• Experience developing machine learning algorithms or machine learning infrastructure in Python
• Experience writing software and executing complex experiments involving large AI models and datasets
• A PhD in AI, computer science, data science, or related technical fields

• Direct experience in generative AI, and LLM research.
• First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)