Machine Learning Engineer • Staff

Who you are

You have extensive experience in machine learning, particularly in building and optimizing recommendation systems — you've worked on projects that leverage user data to enhance personalization and engagement. Your background includes a strong understanding of natural language processing, enabling you to tackle complex challenges in understanding user preferences across various audio content types.

You are well-versed in generative AI technologies — you've implemented solutions that utilize generative models to improve user interactions and content discovery. Your technical expertise allows you to define and execute machine learning strategies that align with business goals, ensuring that your work has a meaningful impact on user experience.

What you'll do

As a Staff Machine Learning Engineer at Spotify, you will lead the technical strategy for the Search team, focusing on developing advanced recommender systems that enhance how users discover music, podcasts, and audiobooks. You will collaborate with cross-functional teams to integrate machine learning models into Spotify's ecosystem, ensuring that recommendations are not only accurate but also engaging for users.

You will be responsible for defining the architecture and technical framework for machine learning initiatives, guiding the team in implementing best practices for model training, evaluation, and deployment. Your role will involve analyzing user data to derive insights that inform the development of new features and improvements to existing systems.

What we offer

At Spotify, you will be part of a dynamic team that is passionate about transforming the way users interact with audio content. We offer a collaborative work environment where innovation is encouraged, and your contributions will directly influence the experiences of millions of users worldwide. Join us in shaping the future of audio discovery and personalization.