Summary: Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. We are looking for engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. Required Skills: Research Engineer, GenAI, Llama Speech Responsibilities: - Design methods, tools, and infrastructure to push forward the state of the art in large language models. - Define research goals informed by practical engineering concerns. - Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. - Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). - Work with a large and globally distributed team. - Contribute to publications and open-sourcing efforts. Minimum Qualifications: Minimum Qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. - Research experience in machine learning, deep learning, and/or natural language processing. - Experience with developing machine learning models at scale from inception to business impact. - Programming experience in Python and hands-on experience with frameworks such as PyTorch. - Exposure to architectural patterns of large scale software applications. - Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: Preferred Qualifications: - Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. - A PhD in AI, computer science, data science, or related technical fields. - Direct experience in generative AI and LLM research. - First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). Industry: Internet