As a creative problem solver, you’re able to form intuitions and explore them with data-driven and disciplined research with minimal to no guidance.You have conversational or near-native fluency in at least one non-English language.R, Matlab, Jupyter Notebooks, etc.) and familiarity with data querying tools (i.e. Python, Java, etc.) and general statistical knowledge, and preferably experience with data analysis (i.e. Basic scripting or coding ability in at least one language (i.e.This experience could come from, but is not limited to, experience in a linguistics, psycholinguistics, psychology (or other related field) lab setting experience working on research projects with professors and/or from research done within linguistics coursework. You have experience with analysis of language data.You have strong foundational knowledge and experience in these core areas of linguistics: phonetics, phonology, morphology, syntax, semantics, and discourse and pragmatics, and preferably also applied or theoretical experience with linguistic typology, computational linguistics, psycholinguistics, and/or linguistics field work.
Currently enrolled in a theoretical linguistics or computational linguistics (or related) program at either the undergraduate or graduate level.Through mentorship, collaborative teamwork, and individual projects, develop individually to learn and grow as a researcher, scientist, and/or engineer.Collaborate with Data Curators, Data Engineering, and NLP developers on linguistic data collection and development efforts.Analyze NLP system performance to identify failure patterns and propose solutions to improve and expand linguistic coverage.Develop NLP components: write rules, build grammars/FSTs, create annotation systems or mappings for the target language while taking cross-language variability into account, ensuring that solutions are not built on assumptions from any one language.Collaborate with a cross-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways.phonetics, phonology, morphology, discourse and pragmatics) into account will be necessary. Role will largely focus on the syntax and semantics, however a holistic approach taking the other theoretical linguistics areas (ie. The ideal candidate will love diving into language data to uncover hidden patterns in speech and writing. This role will involve coming up with creative solutions to be able to identify and properly handle ambiguity in language, such as recognizing when contextual cues may have an effect on meaning. The ideal candidate will be passionate about learning and applying Natural Language Processing (NLP) techniques to enable all Spotify listeners to be expressive in how they ask to listen to audio content like music, podcasts, and more.
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