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Design end-to-end conversational experiences for Spotify's AI products, including dialogue flows, prompt engineering, LLM prototyping, evaluation frameworks, safety guardrails, and cross-functional collaboration to improve conversation quality and user task completion.

Reviews Spotify ads and podcasts for policy compliance, manages review queues and SLAs, handles escalations, identifies emerging risks, collaborates on workflow and tooling improvements, and supports quality assurance through error reporting, feedback, and root cause analysis. The role requires clear stakeholder communication, prioritization, flexibility for assigned shifts, and comfort reviewing sensitive content.

This role involves building and scaling machine learning systems for content understanding, improving quality, and collaborating with cross-functional teams to enhance user experience on Spotify.

Define and own the quality bar for Spotify's AI voice models by designing evaluation rubrics, running qualitative and MOS-style campaigns, benchmarking against competitors, and turning findings into actionable recommendations for product, production, and ML teams.

Define and own the quality bar for Spotify's AI voice models. Design repeatable evaluation rubrics and run qualitative and MOS-style campaigns. Benchmark against competitors, synthesize findings, recommend improvements, and partner with voice, ML, product, and vendor teams to influence research and production priorities across languages and use cases.

Lead Paid Revenue accounting for Premium, Partner, and Other Paid Revenues within the OTC process. Prepare and review month-end journals, reconciliations, analytics, and SOX-compliant reporting under IFRS. Drive process improvements, lead cross-functional efficiency projects, support new business accounting, coordinate onshore/offshore teams, and assist system implementations and ad hoc analyses.

Lead analytics for the Discovery Mode ML squad: design experiments, build evaluation frameworks, analyze model performance, create dashboards tracking model health and customer metrics, and translate findings into actionable product and engineering improvements.

Conduct research in machine learning focusing on AI, develop models, design experiments, collaborate on product ideas, and mentor researchers.

Join the Baldur squad to design and build Spotify's delegated authorization and session management systems. Develop secure, cross-platform C++ libraries and native iOS Swift components for token issuance, refresh, revocation, and on-device credential storage, collaborating with client and backend teams to scale OAuth 2.0 infrastructure used by millions.

The role involves building and scaling machine learning systems for content moderation, designing evaluation frameworks, and developing multimodal models for policy enforcement, while mentoring other engineers.