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Lead go-to-market strategy for Spotify's podcast and video creator products. Define positioning, messaging, commercialization plans, and adoption goals. Collaborate with Product, R&D, Insights, and cross-functional teams to influence roadmap, run market and competitive analysis, and drive product adoption and creator growth initiatives from concept through execution.

Own and improve production-scale ML models and systems for Spotify Home feed and Shortcuts. Build personalized recommendations and LLM-powered experiences, train and fine-tune LLMs, run A/B tests, optimize inference and cost, and improve ML platform, data pipelines, and production infrastructure at scale.

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.

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

Lead the Selection team at Spotify to enhance the messaging platform, focusing on user engagement and retention through collaborative technical roadmaps and advanced decision engines.

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.

The role involves designing and deploying machine learning systems for content safety at Spotify, collaborating with various stakeholders, and providing technical leadership.

Build and evolve Android ad experiences at scale, collaborating with cross-functional teams to design, implement, and ship performant, maintainable features. Influence Android architecture, improve app performance and reliability, create reusable components, and contribute to an inclusive team culture.

Provide strategic legal advice on music publishing and copyright licensing; draft, structure, and negotiate licensing agreements with CMOs, PROs, and publishers; advise on compliance, new product features, market launches, and commercial initiatives across digital platforms; partner with cross-functional teams including Business Affairs, Finance, and Product.

The Senior Machine Learning Engineer will develop and enhance ML systems for content resolution and work on multimodal understanding involving music, video, and metadata. Responsibilities include leading ML pipeline evolution, experimentation for quality improvements, and mentoring team members.