{"id":2553476,"url":"https://alion.io/job/spotify-senior-machine-learning-engineer-personalization","title":"Senior Machine Learning Engineer, Personalization","company":{"id":57,"name":"Spotify","domain":"spotify.com","url":"https://alion.io/company/spotify","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":79,"open_postings":12,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-10-15T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":149000,"max_usd":269000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":314},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2026-10-14T16:28:30Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T10:21:42Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.\nGrowlithe is a fast-moving squad within Spotify's Conversation Product Area, focused on bringing emerging Search and agentic experiences to life. We explore, define, build, validate, and optimize new ideas to help listeners discover the content they love. Our work spans personalized Search, music video discovery and ranking, audiobook Search expansion, and the foundations of more social Search experiences.\nWe're looking for a Senior Machine Learning Engineer to help shape the next generation of Search at Spotify. You'll work at the intersection of machine learning, personalization, and product development, turning complex challenges into intuitive discovery experiences for millions of listeners.\nWhat You'll Do\nBuild and improve machine learning models that make Spotify Search more relevant, personalized, and engaging for listeners.\nDevelop and optimize ranking and backend retrieval systems that help listeners discover music, videos, audiobooks, and other content.\nExplore emerging AI and agentic approaches to create more intuitive and conversational Search experiences.\nDesign, implement, and evaluate machine learning solutions, taking ideas from early experimentation through production.\nPartner with engineers, product managers, designers, and researchers to identify opportunities and deliver meaningful improvements to Search.\nUse experimentation, data analysis, and performance metrics to understand model behavior, validate hypotheses, and improve the listener experience.\nContribute to scalable machine learning infrastructure and engineering practices that support reliable, high-quality Search experiences.\nShare knowledge, challenge assumptions constructively, and help shape the technical direction of machine learning within the squad.\nWho You Are\nYou have experience building, deploying, and improving machine learning systems in production environments.\nYou have a strong understanding of machine learning approaches for information retrieval, search ranking, recommendation systems, or personalization.\nYou are proficient in Python and comfortable working with modern machine learning frameworks and data processing tools.\nYou have experience and a desire to lean into backend engineering at Spotify scale.\nYou understand how to design and evaluate experiments, interpret model performance, and translate technical findings into product improvements.\nYou have experience working with large-scale datasets and understand the challenges of building reliable, scalable machine learning systems.\nYou are curious about emerging AI technologies, including large language models and agentic systems, and interested in their potential to improve discovery experiences.\nYou enjoy working across disciplines, communicating technical ideas clearly, and learning from different perspectives.\nYou are comfortable navigating ambiguity, taking ownership of complex challenges, and balancing experimentation with practical delivery.\nWhere You'll Be\nThis role is based in Eastern Standard Time\nWe offer you the flexibility to work where you work best! 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