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.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

• 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

• 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).
• A PhD in AI, computer science, data science, or related technical fields.
• Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

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