Linguistic Engineer

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 (LE), you will focus on helping 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, LLMs, and Knowledge Graph. The Linguistic Engineer delivers datasets, consistent models and representations across languages and areas, as well as data infrastructure that powers the voice assistant product.

The ideal candidate has demonstrated technical, analytical, and collaboration skills with experience in building datasets for ML applications. 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.

Experience with data tools, pipelines, and analytics is needed for this role. The ideal candidate will have experience working with multilingual datasets or multilingual NLP systems, have an interest in NLP and/or conversational AI systems and being at the forefront of advancements in conversational AI systems. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role.

Responsibilities

Build datasets, pipelines, and models for ML applications
Directly support product development with rules, prompts, and data patches
Evaluate the quality of models and product experiences and close the feedback loop
Clearly communicate with project stakeholders
Identify and document repeatable practices for data quality, pipeline reliability, and model evaluation and improve procedures across data systems
Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support
Design and conduct product experiments
Identify and scope undefined problems, propose structured approaches, and deliver solutions with measurable outcomes
Manage and prioritize concurrent work streams based on impact, deadlines, and stakeholder needs
Collaborate with cross-functional teams including product, engineering, and data science

Qualifications

Experience as data scientist, software engineer, computational linguist or in similar role
Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack
Experience with text analysis, scripting, relational database, No SQL databases or similar
Experience shipping multiple products across various platforms
Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Fluency in additional languages is preferred because the role involves building and evaluating multilingual datasets and models for the voice assistant product
Experience designing and conducting data experiments
Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience with version control, unit tests, and other programming best practices
Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, and so on
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Practical knowledge of the relationship between data and machine learning models