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Linguistic Engineer
Job
Meta
Redmond, WA (In Person)
$107,000 Salary, Full-Time
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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 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 be multilingual to support dataset development across multiple languages, have an interest in NLP and/or conversational AI systems, and be at the forefront of their development. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role.
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 be multilingual to support dataset development across multiple languages, have an interest in NLP and/or conversational AI systems, and be at the forefront of their development. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role.