Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways. As a Linguistic Engineer in this role, you will use your linguistic analysis and natural language processing (NLP) expertise to identify, assess, and mitigate risks related to language-based vulnerabilities, adversarial content, and safety threats in Meta's products. You will help deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS, NLU, NLG, Dialog, and LLMs. The Linguistic Engineer delivers datasets, and designs and produces evaluation metrics across languages and areas that power the voice assistant product. The ideal candidate has demonstrated technical, analytical, and collaboration skills with experience in building datasets for ML applications, with a focus on red-teaming and safety. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization.