Jobs at Spotify

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.

Build and maintain scalable backend services and APIs powering podcast and episode management; contribute to React/TypeScript front-end; improve system performance, developer experience, and observability; collaborate with product, design, and cross-team engineers; author RFCs and uphold code quality and operational practices.

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.

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.

Manage a team of 7–8 engineers building RightsDB and related rights systems. Own roadmap, delivery, platform operations, cross-functional partnerships, mentorship, and scaling content ingestion and compliance workflows for rights-protected and UGC content.

The Frontend Engineer II will build and maintain the Spotify Rights Center application, collaborate with teams, manage complex data flows, and ensure high-quality user experiences through modern coding practices.

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.

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.

The Staff Engineer will design and evolve backend, ML, and distributed data systems for Spotify's content intelligence infrastructure, ensuring scalability and reliability while mentoring team members.

Provide high-level executive support to two Co-Heads of Global Communications: manage complex calendars across time zones, triage requests, prepare meeting materials, track projects and action items, organize global travel and expenses, coordinate team events, draft correspondence, and handle confidential matters with discretion.

Design, build, and operate secure enterprise AI platform capabilities connecting models, agents, and internal systems. Own major infrastructure workstreams (MCP gateway, enterprise context), build backend services and APIs, enable identity-aware governance (access, permissions, auditing), design agentic workflows, and take operational ownership while partnering with stakeholders to scale dependable AI tooling across Spotify.

The role involves designing and implementing large-scale ML solutions for personalized music experiences, collaborating with cross-functional teams to enhance user interactions and fulfill music recommendations.

Own and evolve Spotify's growth marketing technology stack to enable scalable, measurable campaigns. Identify and implement martech and AI-driven automations, partner with Growth, Product, Engineering, and Data teams, evaluate vendors, and improve campaign operations, personalization, and experimentation to drive user acquisition and performance.

Support Legal and Finance with data analytics, ad-hoc reporting, and automation using AI tooling. Build and maintain data pipelines and self-service reporting, validate datasets, partner with engineers and stakeholders, and improve process efficiency.

Lead product development for Spotify Ads Manager to drive advertiser revenue and ad performance. Use data-driven experimentation, funnel optimization, and generative AI tooling to build scalable products and APIs. Collaborate cross-functionally with engineering, design, insights and business partners, run global launches and experiments, and shape long-term ad strategy while fostering an inclusive team environment.