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Linguistic Engineer

Meta

Redmond, WA

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JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Best Practices, Computational Engineering, Computational Linguistics, Computer Science, Computer Vision, Continuous Improvement, Cross-Functional, Data Analysis, Data Science, Data Sets, Editing, Emerging Technology, Establish Priorities, Information Technology & Information Systems, Linguistics, Localization, Machine Learning, Metrics, Multilingual, Multiplatform/Cross-Platform, Natural Language Processing (NLP), NoSQL, Ontology, Optics, PHP Scripting Language (PHP Hypertext Preprocessor), Problem Solving Skills, Procedure Development, Product Design, Product Development, Product Shipments, Product Support, Python Programming/Scripting Language, Relational Databases (RDBMS), Risk Analysis, SQL (Structured Query Language), SQL Databases, Scripting (Scripting Languages), Software Engineering, Software Patches, Source Code/Configuration Management (SCM), Team Player, Training Data Sets, Unit Test, Virtual Reality, Voice Products, Wearables
LOCATION
Redmond, WA
POSTED
9 days ago
**Summary:** 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 be multilingual to support dataset development across multiple languages, have an interest in NLP and/or conversational AI systems, and be at the forefront of their development. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role. **Required Skills:** Linguistic Engineer Responsibilities: 1. Build datasets, pipelines, and models for ML applications 2. Directly support product development with rules, prompts, and data patches 3. Evaluate the quality of models and product experiences and close the feedback loop 4. Experience working with project stakeholders 5. Identify best practices and improve procedures across data systems 6. Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support 7. Design and conduct product experiments 8. Move to MINIMUM_QUALIFICATION or PREFERRED_QUALIFICATIONS, or rewrite as a responsibility, e.g., 'Solve complex problems and navigate ambiguity to drive innovative and impactful solutions.' 9. Manage and prioritize multiple work streams 10. Collaborate seamlessly with cross-functional teams **Minimum Qualifications:** Minimum Qualifications: 11. 2+ years of work experience as data scientist, software engineer, computational linguist or in similar role 12. Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack 13. Experience with text analysis, scripting, relational database, No SQL databases or similar 14. Experience shipping multiple products across various platforms 15. Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience **Preferred Qualifications:** Preferred Qualifications: 16. Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large dataset and so on 17. 5+ years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies 18. Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields 19. Experience designing and conducting data experiments 20. Practical knowledge of the relationship between data and machine learning models 21. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 22. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 23. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 24. Experience with version control, unit tests, and other programming best practices 25. Fluency in additional languages to support multilingual dataset development and product localization **Public Compensation:** $107,000/year to $162,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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Meta

INDUSTRY
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