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Meta · 22 hours ago

Linguistic Engineer

United States

Full-time

Remote

Mid, Senior Level

$138K/yr - $189K/yr

2+ years exp

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. As a Linguistic Engineer, you will focus on delivering datasets, models, and knowledge that power machine learning systems across various components in the multimodal assistant product.

Computer Software

Comp. & Benefits

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 best practices 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

Solve complex problems and embrace ambiguity to drive innovative and impactful solutions

Manage and prioritize multiple work streams

Collaborate seamlessly with cross-functional teams

Qualification

PythonData analysisMachine learningSQLComputational linguisticsText analysisMulti-lingualCollaboration skillsProblem-solving

Required

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

Preferred

2 + years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies

Practical knowledge of the relationship between data and machine learning models

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

Experience designing and conducting data experiments

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

Fluency in additional languages

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