Oculus Looking For Linguistic Engineer at Remote Full Time

As a Linguistic Engineer, you will apply your knowledge of linguistics and natural language processing to develop and deliver logical, testable, maintainable, and efficient language modeling solutions (e.g. dialog systems, language detection tools, social graph or information retrieval systems) for a broad array of features and products at Meta that recognize, understand, interpret and generate human language. You will be responsible for determining language needs, setting the strategic vision for data-based model and product improvements, working with cross-functional partners to create consistent language products across dialects and languages, and helping to design and develop Meta’s language data infrastructure. Your deep linguistic expertise will influence the quality of the experience users have with Meta’s natural language features. You will use your analytical mindset, strong communication skills, collaborative attitude, and personal drive to achieve team goals.We value expertise in any subfield of linguistics, expect a passion for the scientific study of language and its application to production experiences, and value research experience that includes a thorough understanding of the scientific method and experimental design. We are seeking new colleagues who work well on teams, are open to different viewpoints, and can quickly agree on the most optimal solutions to language data problems.

Linguistic Engineer Responsibilities:
Provide linguistic expertise in the areas of syntax, semantics, pragmatics, dialog, ontology, and other NLP areas (such as ASR or TTS).

Clearly communicate expertise with project stakeholders.

Identify best practices and improve procedures across NLP systems.

Identify linguistic needs and gaps within project ontologies and NLP systems.

Anticipate language-based problems before they occur.

Drive projects from conceptualization through launch and beyond with continual improvement and support.

Design and conduct language experiments.

Deliver artifacts for project components that improve a language solution, impacts maintainability and scalability of language systems.

Identify opportunities to improve user experiences with NLP features.

Minimum Qualifications:
Degree in Linguistics, Language Technologies, Computational Linguistics, Speech Science, related field, or equivalent industry experience.

Experience in various areas of linguistics, including phonetics, phonology, morphology, syntax, semantics, pragmatics, discourse analysis, sociolinguistics, psycholinguistics, computational linguistics, and field work.

Experience designing and conducting language data experiments.

Experience with hierarchical structures and ontologies.

Experience with text labeling problems.

Experience with programming techniques and with languages and platforms such as Praat, Python, SQL, PHP, Hack, JavaScript, and React.

Experience prioritizing multiple work streams and conducting day-to-day tasks without oversight.

Track record working on or leading cross-functional efforts, initiatives, or projects.

Experience forming internal team relationships and fostering external relations.

Preferred Qualifications:
Advanced degree in Linguistics, Language Technologies, Computational Linguistics, Speech Science, or related field.

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

Strong understanding of the relationship between data and machine learning models in order to increase linguists’ impact on ML projects.

Familiarity with core data processing techniques and tooling (including version control, unit tests, and other programming best practices).

Experience with a product development/release cycle, quality control, and continuous improvement strategies.

Experience with responsible AI approaches, enabling and preserving privacy, integrity, and fairness.

Demonstrated leadership within smaller projects or teams.

Fluency in two or more natural languages.

2+ years relevant industry experience.

Facebook is proud to be an Equal 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.Facebook 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 [email protected]