About HookHook is a social music platform, backed by top-tier investors, building the next generation of music discovery, fan expression, and creator growth. We turn the songs people love into sounds they can play with — enabling fans and creators to reimagine music through intuitive, remix-friendly experiences with zero learning curve. By partnering directly with artists, labels, and rightsholders, Hook ensures music is discovered, shared, and expressed in ways that respect and reward the people behind it. At Hook, music isn’t just consumed — it’s experienced, expressed, and made personal.Role OverviewWe are looking for a Research Scientist to design, develop, and advance state-of-the-art recommendation systems that power personalized user experiences at scale. In this role, you will conduct applied research, translate theoretical insights into production-ready models, and partner closely with engineering and product to drive measurable impact.You’ll work on problems such as ranking, personalization, user modeling, exploration-exploitation, and representation learning, using real-world data and user-generated content.What You’ll DoDesign, implement, and evaluate machine learning models for recommendation, ranking, and personalizationConduct applied research to improve model quality, robustness, and efficiencyDevelop and execute experimentation strategies using offline evaluation and online testingWork with complex datasets to understand user behavior and system performanceCollaborate with engineering and product teams to transition research into production systemsShare research results in clear, accessible ways with both technical and non-technical audiencesStay informed about advances in recommendation systems and related ML methodologiesRequired Skills & ExperienceAdvanced degree (PhD or MS) in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experienceExperience developing recommendation, ranking, or personalization models for user-generated content.Strong foundation in machine learning, statistics, and data analysisProficiency in Python and modern ML frameworks (e.g., PyTorch)Ability to conduct independent research and collaborate effectively in team environmentsPreferred Skills & ExperiencePrior publications or submissions to RecSys or closely related venuesExperience working with large-scale data and computational systemsExperience with representation learning, sequence modeling, or large-scale optimizationExperience transitioning research prototypes into production systemsWhy This Role MattersThis role will influence the company’s research direction—how we develop novel models, push technical boundaries, and bring cutting-edge science into production. You’ll have significant ownership, and the opportunity to build a world-class applied research function from the ground up.CompensationCompetitive base salary, meaningful equity ownership, and the opportunity to build and lead growth at a fast-growing consumer company.
