About the Role

Linguistic Engineer at Meta's Reality Labs focuses on building datasets, models, and infrastructure for multimodal AI assistants. Responsibilities include supporting product development, evaluating model quality, and collaborating with ML teams. The role requires experience with data tools, programming, and NLP systems.

Key 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
• Drive and deliver projects from conceptualization through launch and beyond
• Collaborate seamlessly with cross-functional teams

Required Skills & Qualifications

Must Have:

• 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
• Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience

Nice to Have:

• 2+ years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations
• Experience with larger scripting projects that involve combining language data from different sources and computing complex metrics
• Experience designing and conducting data experiments
• Fluency in additional languages

Benefits & Perks

• bonus
• equity
• benefits