Machine Learning Engineer I, Personalization

Job Description: utilize 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 systemsperform data analysis to establish baselines and inform product decisionsstay up-to-date on the latest machine learning algorithms and techniquesRequirements: strong background in machine learning, especially experience with Large Language Modelsprofessional experience in applied machine learningextensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, with Python experience required)hands-on experience implementing or prototyping machine learning systems at scaleexperience architecting data pipelines and self-sufficient in getting the data needed to build and evaluate models, using tools like Dataflow, Apache Beam, or Sparkcare about agile software processes, data-driven development, reliability, and disciplined experimentationexperience and passion for fostering collaborative teamsexperience with PyTorch, TensorFlow, and/or other scalable Machine learning frameworksexperience with architecting near real time pipelines is a plusBenefits: health insurancesix month paid parental leave401(k) retirement planmonthly meal allowance23 paid days off13 paid flexible holidayspaid sick leave