Research Engineer, Language

Reality Labs is seeking a Research Engineer to join our Large Language Model (LLM) Research team for the device driven AI Assistant effort. We conduct focused research and engineering to build state-of-the-art LLMs to fit on-device and on-server use cases. We are looking for strong research 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; andor multilingual and multimodal modeling. We collaborate closely with Meta GenAI and FAIR orgs to produce SOTA research and results. Jobs Research Engineer, Language Research Engineer, Language Burlingame, CA Engineering + 1 more Reality Labs is seeking a Research Engineer to join our Large Language Model (LLM) Research team for the device driven AI Assistant effort. We conduct focused research and engineering to build state-of-the-art LLMs to fit on-device and on-server use cases. We are looking for strong research 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; andor multilingual and multimodal modeling. We collaborate closely with Meta GenAI and FAIR orgs to produce SOTA research and results. Research Engineer, Language 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, andor 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 Preferred Qualifications 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. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). Direct experience in generative AI and LLM research. 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. For those who live in or expect to work from California if hired for this position, please click for additional information. $74.04hour to $217,000year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about at Meta. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice . Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .