
Senior Engineer for Data-Driven Decision Making
3 days ago
At Spotify AB, we transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.
We are seeking a highly skilled Machine Learning (ML) Staff Engineer to join our Content and Catalog Management (CoCaM) team. This individual will lead the development and implementation of ML strategies for CoCaM, driving technical innovation and excellence in music and audio content management. They will work closely with a community of engineers, researchers, product managers, designers, and data scientists to expand CoCaM ML knowledge and expertise, and collaborate to find opportunities for more efficient, effective, and consistent use of ML in our decision-making pipeline.
The ideal candidate will have a proven track record of creating, promoting, and growing ML strategy for platforms and delivering horizontal solutions to vertical problems, hands-on experience implementing ML systems at scale, in-depth knowledge of various ML algorithms, and experience communicating sophisticated ML practices, solutions, and algorithms to technical and non-technical parties. They will also have experience partnering with Staff Engineers and Product partners to identify and demonstrate ML opportunities, cultivating strong relationships within the CoCaM Staff Engineers, Engineering Managers, and Product Managers, and promoting the culture of collaboration, openness, and inclusion to develop more well-rounded solutions.
We offer a comprehensive benefits package, including extensive learning opportunities, flexible share incentives, global parental leave, All The Feels, our employee assistance program and self-care hub, flexible public holidays, and an equal opportunity employer environment where everyone is welcome.
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