<p>Join Apple's Entity and App Resolution team, where we build the intelligent systems that help customers find and interact with exactly what they're looking for. Our work powers personalized search and resolution capabilities that improve user experiences. We're seeking a Computational Linguist to support our entity resolution systems through data-driven work. In this role, you'll help construct, generate, annotate, maintain, and analyze the data that power our products. You'll help build processes and pipelines to streamline data workflows. You will also be responsible for documenting and communicating processes, guidelines, and findings. You'll work across engineering, quality, localization, and UX teams, applying your linguistic expertise to ensure our systems work well across different contexts and locales. Your systematic and organized approaches will help to increase efficiency within and across teams.</p> <p>Data Generation u0026 Management: Design, generate, and maintain high-quality datasets for entity resolution testing and evaluation; automate data generation pipelines where possible Annotation Projects: Plan, manage, and execute annotation projects; create annotation guidelines, coordinate with annotators, ensure quality and consistency Data Analysis: Clean, process, and analyze language data using linguistic expertise to identify patterns, edge cases, and system failures; surface insights that drive product improvements Cross-Functional Collaboration: Work closely with Quality Engineering, UX researchers, engineers, and localization teams to ensure entity resolution meets quality standards and user needs Localization Awareness: Work with internationalization to identify and address language-specific and cultural issues in entity resolution across different locales Testing u0026 Evaluation: Design systematic test cases and evaluation frameworks; analyze test results to identify linguistic patterns in failures Documentation: Create clear, comprehensive documentation of scope, datasets, processes, findings, and recommendations for diverse audiences</p> <p>Familiarity with version control (Git or similar) Familiarity with conversational systems, NLP, or search systems Experience managing or participating in annotation projects Experience with localization or multilingual issues in language technology Project management experience (academic or professional) Experience working with engineers or technical teams</p> <p>Master's degree in Linguistics, Computational Linguistics, or related field Strong data skills: cleaning, processing, analyzing, and finding patterns in language data Strong analytical skills: Experience with quantitative and qualitative data analyses Coding skills (e.g. Python, R) for the purpose of data processing and analysis 3-5 years of industry experience Experience with linguistic annotation Excellent communication skills and ability to work cross-functionally Strong organizational skills and documentation practices <em>Systematic thinking and attention to detail </em>Basic understanding of machine learning concepts</p>