Linguistic Engineer

Meta; Redmond; Hybrid; AUD 201,000 - 275,000; Full time

Job summary

Meta is seeking a Linguistic Engineer to build multilingual datasets and ML-ready representations for its multimodal voice assistant. You will collaborate with ML teams across ASR/TTS, NLU, NLG, Dialog, LLMs, and Knowledge Graph to power the product.

The role emphasizes data quality, scalable pipelines, and rigorous evaluation, with opportunities to influence across languages and platforms globally. Equity and benefits accompany the role.

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.

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.

Skills

Python

SQL

PHP/Hack

Text analysis

Relational databases

NoSQL databases

Data analysis

Multilingual datasets

Product shipping experience

Education

Linguistics

Computational Linguistics

Computer Science

Data Science

Information Systems

Tools

Git

Job description

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 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.

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. Clearly communicate with project stakeholders

5. Identify and document repeatable practices for data quality, pipeline reliability, and model evaluation 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. Identify and scope undefined problems, propose structured approaches, and deliver solutions with measurable outcomes

9. Manage and prioritize concurrent work streams based on impact, deadlines, and stakeholder needs

10. Collaborate with cross-functional teams including product, engineering, and data science

Minimum Qualifications:

Minimum Qualifications:

1. Experience as data scientist, software engineer, computational linguist or in similar role

2. Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack

3. Experience with text analysis, scripting, relational database, No SQL databases or similar

4. Experience shipping multiple products across various platforms

5. Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience

Preferred Qualifications:

Preferred Qualifications:

1. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

2. Fluency in additional languages is preferred because the role involves building and evaluating multilingual datasets and models for the voice assistant product

3. Experience designing and conducting data experiments

4. Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields

5. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

6. Experience with version control, unit tests, and other programming best practices

7. Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, and so on

8. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

9. Practical knowledge of the relationship between data and machine learning models

Public Compensation:

$138,000/year to $189,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affi… (complete paragraph omitted for brevity)

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 [e-mail].