Linguistic Engineer

Meta's AR/VR division is developing future products in augmented reality and virtual reality. 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 voice assistant product, such as ASR/TTS, NLU, NLG, Dialog, LLMs, and a 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 strong 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 multi-lingual, and have an interest in NLP and/or conversational AI systems and being at the cutting edge of their development. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role.

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.
• Work in a dynamic, ambiguous work environment.
• Be self-driven and prioritize multiple work streams.
• Collaborate seamlessly with cross-functional teams.

Join Meta's AR/VR division and be at the forefront of developing cutting-edge voice assistant technology!