[Remote] Machine Learning Engineer - Artist-First AI Music Lab

Note: The job is a remote job and is open to candidates in USA. Spotify is a leading music streaming service that aims to enhance the experiences of music creators and fans. They are seeking a Machine Learning Engineer to design and build AI-driven music experiences, focusing on generative AI products that prioritize artists and their connections with fans.ResponsibilitiesDesign, build, evaluate, and improve machine learning training and inference pipelines that power new AI-driven music experiences and help take them to fully scaled production-ready featuresApply machine learning and prompt engineering knowledge across complex ML pipelines to support rich user experiences involving large language modelsCreate evaluation frameworks, including LLM-as-judge pipelines, to measure quality and build fast feedback loops that enable rapid and confident iterationPartner with music subject-matter experts to bootstrap training and reference data, including synthetic generation, expert curation, and taxonomy designBuild scalable systems that balance experimentation velocity with production rigor, ensuring strong performance, reliability, and latency at Spotify scaleCollaborate closely with Data Science teams to connect evaluation frameworks with real-world usage signals and continuously improve model qualityContribute to technical direction and engineering best practices across model deployment, observability, experimentation, and production infrastructureWork cross-functionally with engineering, product, design, and music industry partners to shape entirely new listening experiences for artists and fansSkillsExperienced in applying machine learning in production environmentsYou have hands-on experience working with large language models, prompt engineering, evaluation systems, and shipping LLM-driven features in productionYou have experience building and maintaining production ML systems using Python, Java, Scala, or similar languagesYou are experienced in building large-scale data pipelines for sourcing, preparing, and evaluating training dataYou have worked with cloud platforms such as GCP, AWS, Azure, or similar infrastructure environmentsYou are comfortable explaining machine learning concepts, assumptions, and trade-offs to both technical and non-technical audiencesYou have experience building user-facing products and strong judgment around conversational AI and generative user experiencesYou care deeply about experimentation, iteration, and using data to guide product and engineering decisionsYou thrive in collaborative, cross-functional teams that move quickly, experiment often, and continuously learnBenefitsHealth insuranceSix month paid parental leave401(k) retirement planMonthly meal allowance23 paid days off13 paid flexible holidaysPaid sick leaveCompany OverviewSpotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. It was founded in 2006, and is headquartered in Stockholm, Stockholms Lan, SWE, with a workforce of 5001-10000 employees. Its website is http://www.spotify.com.Company H1B SponsorshipSpotify has a track record of offering H1B sponsorships, with 15 in 2026, 140 in 2025, 117 in 2024, 169 in 2023, 259 in 2022, 172 in 2021, 115 in 2020. Please note that this does not guarantee sponsorship for this specific role.