Linguistic Engineering Intern
Job Description
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 Engineering Intern, you will contribute to language data systems for NLP development. You will be responsible for contributing to product language needs, contributing to 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. 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 value research experience that includes an understanding of the scientific method and experimental design. We are seeking interns who work well on teams, are open to different viewpoints, and can quickly agree on the most optimal solutions to language data problems.
Locations
- Redmond, WA, USA
- Burlingame, CA, USA
Salary
6,750 - 10,934 USD / monthly
Required Qualifications
- MS degree in Linguistics, Language Technologies, Computational Linguistics, Speech Science, or related field (degree in Linguistics)
- Training in various areas of linguistics, including phonetics, phonology, morphology, syntax, semantics, pragmatics, discourse analysis, sociolinguistics, psycholinguistics, computational linguistics, and field work (experience)
- Familiarity with programming languages such as Praat, Python and SQL (experience in Programming)
- Demonstrated ability to cooperate within smaller projects or teams (experience)
- Experience contributing to language data experiments (experience)
- Experience with hierarchical structures and ontologies (experience)
- Experience with text labeling problems (experience)
- Experience forming internal team relationships and fostering external relations (experience)
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment (experience)
Preferred Qualifications
- PhD degree in Linguistics, Language Technologies, Computational Linguistics, Speech Science, or related field (degree in Linguistics)
- Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, etc (experience)
- Strong understanding of the relationship between data and machine learning models in order to increase linguists’ impact on ML projects (experience)
- Working understanding of large language models (LLMs) and strong prompt engineering skills to leverage them for data generation, analysis, and insight extraction (experience)
- Familiarity with Agentic AI applications and frameworks (experience)
- Familiarity with core data processing techniques and tooling (including version control, unit tests, and other programming best practices) (experience)
- Fluency in two or more natural languages (experience)
Responsibilities
- Provide linguistic expertise in the areas of syntax, semantics, pragmatics, dialog, ontology, and NLP.
- Build datasets, pipelines, and models for ML applications and Agentic AI systems.
- 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.
Benefits
- compensation: Benefits included with base compensation
