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Develop and improve recommendation models for Spotify's music services, drive hands-on machine learning development, and collaborate across teams to integrate new signals in ML systems.

Lead and improve machine learning systems for safety in personalization, develop backend services, and partner across teams to address safety challenges.

The role involves modeling financial frameworks, conducting analyses for new in-person initiatives, and establishing performance governance at Spotify.

As a Machine Learning Engineer on the Personalization team, you'll develop and enhance recommendation systems, collaborate across teams on ML projects, and promote best practices in ML systems development.

As a Backend Engineer for the Music Mission, you will build and maintain backend systems for promotion allocation, collaborating with data and machine learning engineers to enhance system performance.

As Legal Counsel, you will advise on platform liability laws, manage Spotify's legal takedown policies, provide legal support across teams, and track evolving regulations, focusing on copyright and compliance issues.

The role involves designing and refining reward signals for recommendations, collaborating with teams, and implementing ML solutions to enhance user satisfaction.

Lead a regional technical ad-ops team to ensure successful delivery of programmatic and direct advertising campaigns. Manage ticket-based workflows, QA processes, SLAs, and escalations; collaborate with Sales, Product, Engineering, buyers, and DSP partners to troubleshoot delivery issues, improve performance, and drive long-term product fixes. Build training, documentation, and cross-functional partnerships while coordinating with offshore/global support teams.

Lead end-to-end ML initiatives from prototyping to large-scale production, build and deploy LLM-powered and multimodal content intelligence systems, design evaluation frameworks and experiments, partner with cross-functional teams to set technical strategy, and mentor engineers while adopting AI-assisted development tooling.

Conduct research in music generation and related domains, run large-scale experiments, create applications using generative technologies, collaborate with cross-functional teams, and engage with the research community.