Spotify

Craft the team’s data strategy and build the systems that power smarter, more intuitive discovery on Spotify. Work alongside a dedicated mix of ML and Backend Engineers to tackle some of Spotify’s most exciting challenges in retrieval, ranking, and personalization. Design, build, and maintain scalable, reliable data pipelines that support advanced search capabilities.

Be a technical leader within your team and within Spotify. Coordinate technical projects across teams. Facilitate collaboration with engineers, product owners, and designers to solve interesting problems for delivering various media. Architect, design, develop, and deploy ML models. Be a leader in Spotify’s ML community and work collaboratively and efficiently on existing platforms and systems.

Design, build, evaluate, and ship ML solutions in Spotify’s personalization products and collaborate with cross functional teams to build new product features that advance the mission to connect artists and fans. Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users. Promote and role-model best practices of ML systems development throughout the organization and be part of an active group of machine learning practitioners.

Help improve personalization experiences by integrating and optimizing pioneering generative AI technologies into recommender systems. Join an interdisciplinary team at the forefront of Spotify's technology and help ensure foundational technologies exceed the state of the art, actively redefining the field through published research. You'll participate in groundbreaking research at the intersection of artificial intelligence, machine learning and economics with a focus on large-scale solutions to optimize recommender systems.

Spotify Advertising’s Creative Lab is seeking a seasoned Creative Strategy Lead to join our awarded and tenured creative strategy team dedicated to inspiring the best ideas centered around Spotify through proactive and reactive pitching, co-creating and building with our biggest brands, creators, and advertisers today. The right candidate will work directly with our talented internal creative strategy and operations team, as well as sales to support sell-through and execution handoff of sold programs.

Work with a fullstack team to build and launch backend services & data pipelines that power a new rights database to serve as a source of truth for Spotify. Work closely with product, insights, design and other backend engineers to understand the needs our of external customers and internal partners. Deliver scalable, testable, maintainable, and high-quality backend code and maintain data pipelines that undergird our Rights ecosystem.

As a Machine Learning Engineer on the Personalization team, you'll help build the future of podcast and audiobook listening experiences for millions of listeners at Spotify. You'll utilize in-house and 3rd party LLMs to solve language understanding problems, employ techniques such as fine-tuning and RAG, and contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development.

This is a unique opportunity to help develop and shape Spotify recommendations. You’ll grow your skills in engineering at scale, work with a cross-functional team of Machine Learning Engineers, Backend Engineers, Data Engineers, and researchers, and join a super motivated and supportive team. You'll work with large-scale data pipelines and develop new data pipelines to meet emerging needs. You will also collaborate with other engineers to develop monitoring tools.

Provide leadership to the Home product area managing engineering managers. You will be instrumental in growing the Home product area and accountable for performance and results of multiple related units/teams. Grow the technical expertise of your team around quality, scalability and performance.

The Backend Engineer will build data-intensive services and systems, working with a team to construct the rights manager portal. The role involves designing and building distributed, high-volume services and maintaining data pipelines. The engineer will support the delivery of technical solutions, advocate for agile software development practices, and contribute to product ideation and a collaborative team culture.

You will play a leading role in our mobile engineering practice, implementing new features, improving performance, building beautiful user interfaces, and building reusable and scalable libraries and components. Your work will change the way users experience the free tier.

This person will build, evolve and maintain the backend systems that power personalized experiences at scale and continuously improve Spotify's engineering practices. The work will have a direct impact on teams across Spotify, and 100s of millions of listeners' personalized experiences every day. The engineer will deliver robust and scalable systems and APIs that serve internal customers and deliver content to 100s of millions of listeners worldwide.