Research Engineer

<p>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.</p><h3>Responsibilities</h3><ol><li>Design methods, tools, and infrastructure to push forward the state of the art in large language models.</li><li>Define research goals informed by practical engineering concerns.</li><li>Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.</li><li>Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).</li><li>Work with a large and globally distributed team.</li><li>Contribute to publications and open-sourcing efforts.</li></ol><h3>Minimum Qualifications</h3><ol><li>Bachelors degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Research experience in machine learning, deep learning, and/or natural language processing.</li><li>Experience with developing machine learning models at scale from inception to business impact.</li><li>Programming experience in Python and hands-on experience with frameworks such as PyTorch.</li><li>Exposure to architectural patterns of large scale software applications.</li><li>Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.</li></ol><h3>Preferred Qualifications</h3><ol><li>Masters degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>A PhD in AI, computer science, data science, or related technical fields.</li><li>Direct experience in generative AI and LLM research.</li><li>First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).</li></ol>

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