<p>Meta is seeking a Linguistic Engineering Manager, you will lead a team of linguistic engineers in designing and developing datasets, models, and representations across languages, knowledge, and evaluation systems that drive our AI multimodal assistant. You will communicate a mission and strategy for your team, aligned with organizational objectives and key business outcomes. In collaboration with cross-functional teams, you will drive the development of innovative solutions, leveraging experience in dataset creation/collection, evaluation methodologies, and model enhancements to advance AI products, including Large Language Models. A key aspect of this role is leadership and talent development, fostering an environment of collaboration and guiding team members to success.</p> <p>Qualifications: Bachelor's degree in Computer Systems Engineering or equivalent experience 8+ years of work experience as data scientist, software engineer, computational linguist or in a similar role 3+ years of experience directly managing a team of data scientists, software engineers, or computational linguists or similar Experience with programming and data analysis with languages and platforms such as Python, Jupyter, and SQL Experience in shipping and evaluating AI/ML-based products Experience with text analysis, scripting, relational database, No SQL databases or similar Experience recruiting and managing technical teams, including performance management Demonstrated experience collaborating with other internal and external teams Experience shipping multiple products across various platforms Familiarity with version control, unit tests, and other programming best practices 5+ years of relevant industry experience managing technical teams as part of a consumer-facing application Master's or PhD with a specialization in Computational Linguistics, AI, speech programs, natural language processing, or machine learning, or related fields 5+ years of experience directly managing a technical team Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, etc Demonstrated understanding of the relationship between data and large language models 10+ years of work experience as data scientist/software engineer/computational linguist, with experience in conversational AI, conducting scaled experiments and evaluations tied to product/user experience improvements Proficiency in additional languages Experience designing and conducting data experiments</p> <p>Responsibilities: Develop and execute a comprehensive Linguistic Engineering roadmap, aligning with organizational AI objectives and deliverables Strategically plan and implement technical initiatives to advance AI voice assistants programs Drive projects from conceptualization through launch and beyond with continual improvement and support Drive advancements in conversational AI systems across the full AI-Assistant stack Communicate complex technical information, changes, risks, and results with utmost clarity to executive leadership, stakeholders, and partners Manage project timelines, resource allocation, and team staffing to ensure timely and successful delivery of projects Partner with project stakeholders and collaborate seamlessly with cross-functional teams Provide technical and scientific guidance to team members and partners, promoting best practices and knowledge sharing Mentor the growth of linguists and managers to amplify their contributions</p>