Linguistic Engineer Intern (PhD)

As an LE intern, you will contribute to language and multimodal data systems for Meta's Multimodal Assistant. 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 Assistant features across supported languages and modalities, 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 and multimodal data problems.Our internships are twelve (12) to sixteen (16) weeks long.

Linguistic Engineer Intern (PhD) Responsibilities:

• Provide linguistic expertise in the areas of syntax, semantics, pragmatics, dialog, ontology, and NLP.
• Build datasets, pipelines, and models for ML applications.
• 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 data-driven experiments.

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a PhD degree in the field of Linguistics, Language Technologies, Computational Linguistics, Speech Science, or a related field.
• Training in various areas of linguistics, including phonetics, phonology, morphology, syntax, semantics, pragmatics, discourse analysis, sociolinguistics, psycholinguistics, computational linguistics, and field work.
• Basic familiarity with programming techniques and with languages and platforms such as Praat, Python, SQL, PHP, Hack, JavaScript, and React.
• Demonstrated ability to cooperate within smaller projects or teams.
• Experience contributing to data experiments.
• Experience with hierarchical structures and ontologies.
• Experience with text/image/video labeling problems.
• Experience forming internal team relationships and fostering external relations.
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

• Actively pursuing 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).
• Fluency in two or more natural languages.
• Intent to return to degree-program after the completion of the internship.

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

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 [email protected].

$error/year to $error/year + benefits We apologize for the inconvenience, please be patient as we work to correct the issue.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.