Staff Machine Learning Engineer Recommendations

Build Spotify’s personalized recommendations remotely with Python and PyTorch expertise. Shape Home feed experiences serving millions of listeners globally.As a Staff Machine Learning Engineer, you will own personalization systems across Spotify Home Surfaces. The work combines recommendation systems, ranking models, large language models, experimentation, and production-scale machine learning infrastructure. You will take models from research into production while guiding technical direction in ambiguous problem spaces.Key Responsibilities:
Own machine learning models powering Spotify’s Home feedDesign personalized recommendations for millions of listenersBuild content systems for agentic and AI-powered experiencesDrive experimentation, monitoring, evaluation, and optimizationImprove platforms, pipelines, and production personalization systemsRequirements:
Eight or more years building production machine learning systemsDeep expertise in recommendations, ranking, personalization, or discoveryStrong Python proficiency and hands-on PyTorch experienceExperience training, fine-tuning, evaluating, and optimizing large language modelsUnderstanding of large-scale inference latency, reliability, and costApply recommendation systems, Python, PyTorch, and machine learning leadership to Spotify’s globally scaled Home experiences remotely.
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