
Data Science Team Lead
4 days ago
The Content and Catalog Management team at Spotify is seeking a skilled Machine Learning (ML) Staff Engineer to lead the definition, adoption, and expansion of ML usage within our content and catalogue management platform. As a key member of the team, you will work closely with engineers, researchers, product managers, designers, and data scientists to drive the management of content and make decisions that impact the whole of Spotify on content appropriateness, availability, quality, and accuracy.
Key Responsibilities:
- Own the ML strategy for content and catalog management across six squads.
- Ensure the platform can support diverse content types, policies, provide data for reporting and auditability, and enable the right balance of fast and accurate decisions.
- Enhance the ML competence among 40+ engineers, engineering managers, and product managers.
- Provide mentorship on the usage of ML with traditional engineering approaches to use the right solution for the right problem.
- Partner with Staff Engineers and Product partners, policy owners, and operational teams to identify and demonstrate ML opportunities.
- Cultivate strong relationships within the CoCaM Staff Engineers, Engineering Managers, and Product Managers.
- Promote experimentation and iteration to encourage more out-of-the-box approaches to engineering problems.
- Drive technical decisions and standard methodologies in ML to ensure high-quality and scalable solutions are built by our engineers.
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