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Open to interestListed 1mo ago

Machine Learning Engineering Manager - Music

Spotify

Full-time
📍 New York, NY

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Job Description

As the Engineering Manager of the Oasis Squad, you’ll lead a multidisciplinary team of machine learning, data, and backend engineers building ML systems at the heart of how Spotify shapes and delivers music experiences.

Oasis needs a people leader with significant technical machine learning depth who can help the team navigate complex technical strategy, shifting business needs, and high-impact cross-functional decisions.

A great manager for this team will give experienced engineers meaningful autonomy while staying deeply engaged in their technical work.

You’ll have the ML expertise to assess technical tradeoffs, steer the team toward decisions, and represent its technical direction with senior partners across Personalization, Product, and the music business.

This is a role for someone who enjoys being close to both the people and the work: coaching engineers, creating clarity amidst constant change, and enabling a high-performing team to move quickly without adding unnecessary process.

If this role excites you but you don't meet every requirement, we'd still love to hear from you. We welcome candidates from all backgrounds.

Required Skills

Machine LearningData EngineeringBackend EngineeringML SystemsTechnical LeadershipCross-functional CollaborationPersonalization SystemsMusic Industry DomainPythonDeep LearningDistributed SystemsScalable ML PipelinesEngineering ManagementCoaching EngineersAgile/Lean Methodologies

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