Machine Learning Engineering Manager – Surfaces Music

🕒 Março 17

🗽 New York – Remoto

🗽 New York – Remote

💵 $164.448 - $234.926 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👮‍♀️ Gerente de Engenharia de Software

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Spotify

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2008

📱 Mídia

👥 B2C

🛍️ Comércio Eletrônico

Media • B2C • eCommerce

O Spotify é uma empresa global de streaming de áudio que oferece aos seus usuários acesso a uma vasta biblioteca de músicas e podcasts. Conhecido por seu foco em proporcionar experiências de escuta personalizadas, o Spotify emprega data scientists, engenheiros e Client Partners em diversas localidades ao redor do mundo para inovar continuamente e aprimorar suas soluções. A empresa promove uma forte cultura de diversidade, equidade e impacto, enfatizando pertencimento e inclusão em sua força de trabalho. O Spotify não está apenas comprometido em moldar o futuro do entretenimento em áudio, mas também em gerar impacto positivo na sociedade, com iniciativas voltadas para questões sociais e ambientais.

Descrição

• Lead and support a team of Backend, Data, and Machine Learning Engineers building recommendation systems used by hundreds of millions of listeners • Set the technical direction for recommendation models across surfaces like Home and Now Playing • Guide the development of candidate generation, ranking, and embedding systems that improve music discovery • Partner with ML platform and infrastructure teams to evolve and scale generative recommendation models • Work closely with Product, Data Science, and Design to define success metrics and turn insights into meaningful product improvements • Ensure systems are reliable, efficient, and able to operate at global scale with low latency • Support strong engineering practices across experimentation, model evaluation, and production monitoring • Stay close to the technical work by reviewing architecture decisions and contributing to key discussions • Encourage thoughtful adoption of AI-assisted development tools to improve team productivity and reduce repetitive work • Create an inclusive, supportive team environment where engineers can grow and do their best work • Collaborate with peers across the organization to align on shared goals and technical direction

🎯 Requisitos

• 5+ years of experience in software engineering or machine learning, including 2+ years supporting or leading a team • experience working on recommendation systems, including ranking, retrieval, or embedding-based approaches • understanding of how to build and operate machine learning systems in production at scale • familiarity with modern machine learning approaches such as deep learning or large language models • experience with cross-functional partners to deliver complex projects with multiple dependencies • care about building products that are measurable, impactful, and grounded in user needs • comfortable working with experimentation and using data to guide decisions • create an environment where collaboration, trust, and inclusion are prioritized • stay engaged with technical decisions and enjoy supporting engineers in solving complex problems • curious about how AI tools can improve engineering workflows and team effectiveness

🏖️ Benefícios

• health insurance • six month paid parental leave • 401(k) retirement plan • monthly meal allowance • 23 paid days off • 13 paid flexible holidays • paid sick leave