[Remote] Machine Learning Engineer, Personalization, Minesweeper

Note: The job is a remote job and is open to candidates in USA. Spotify is a leading audio streaming platform that aims to enhance the listening experience through personalized recommendations. They are seeking a Machine Learning Engineer to join their Personalization team, focusing on developing AI and ML techniques to improve music, podcast, and audiobook recommendations for millions of users.ResponsibilitiesUtilize in-house and 3rd party LLMs to solve language understanding problemsEmploy techniques such as fine-tuning and RAG to improve modelsContribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML developmentHelp drive optimization, testing, and tooling to improve quality of our content enrichment assetsCollaborate with cross-functional teams of MLEs, data and backend engineers, and other stakeholders including tech research, data science, and product to develop new features and technologiesBe a participant in our AI Foundation’s ML community and work collaboratively and efficiently within our existing platforms and systems Perform data analysis to establish baselines and inform product decisionsStay up-to-date on the latest machine learning algorithms and techniquesSkillsYou have a strong background in machine learning, especially experience with Large Language ModelsYou have professional experience in applied machine learningExtensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, with Python experience required) and cloud platforms (GCP or AWS)You have some hands-on experience implementing or prototyping machine learning systems at scaleYou have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or SparkYou care about agile software processes, data-driven development, reliability, and disciplined experimentationYou have experience and passion for fostering collaborative teamsExperience with PyTorch, TensorFlow, and/or other scalable Machine learning frameworks. Experience with Ray or TFX is a plusBonus if you have experience with architecting near real time pipelinesBenefitsHealth 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.