Top Tech Jobs & Startup Jobs

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.

Manage and grow a portfolio of global strategic partnerships from post-signature through renewal. Serve as primary partner contact, lead launches, optimize marketing initiatives, analyze performance to drive user acquisition and conversion, identify expansion opportunities, and collaborate cross-functionally to improve partner workflows and commercial outcomes.

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.

As a Staff Machine Learning Engineer, you will build ML systems for content understanding, develop classification models, and improve content quality through collaborative work with various teams.

The Staff Machine Learning Engineer builds and scales ML systems for content detection and policy enforcement, collaborating with various teams to ensure safety and compliance in Spotify's user experiences.

As an Engineering Manager, you'll lead a distributed team, mentor engineers, oversee delivery quality, support product managers, and engage in hands-on engineering.

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

Lead a six-person engineering team owning event delivery and data pseudonymisation platforms. Set technical direction, ensure reliable delivery and on-call health, partner with product and stakeholders on roadmap, drive architecture, hire and grow engineers, and foster a culture of ownership and inclusion.