Director, Machine Learning Engineering – Surfaces Foundation

🕒 April 28

🗽 New York – Remote

🗽 New York – Remote

💵 $264.6k - $378.1k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Spotify

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

📋 Description

• Lead and support engineering managers and their teams building platform systems for personalized recommendations across Spotify • Set and evolve the technical vision for foundational capabilities, including targeting, serving, evaluation, and agent-driven systems • Make thoughtful decisions about what should become platform capabilities, ensuring teams can move quickly without unnecessary complexity • Guide incremental platform evolution, enabling continuous delivery rather than large, disruptive rewrites • Partner closely with product, data science, and engineering leaders to align priorities across multiple squads • Stay close to the technology when needed, contributing to architecture decisions and resolving complex production challenges • Encourage adoption of AI-assisted development tools and shape how teams use them effectively in day-to-day work • Hire, develop, and grow engineering leaders and individual contributors, building a strong and inclusive team culture

🎯 Requirements

• experience building and operating machine learning systems at scale in consumer-facing products • worked on recommendation systems, ranking, or content delivery platforms and understand end-to-end ML workflows • strong platform thinking, with the ability to decide when to build shared capabilities and when to keep solutions closer to product teams • comfortable working with modern AI tools and understand how they influence software development practices • led teams through change, supporting adoption of new technologies or ways of working • collaborate effectively across disciplines and help create alignment across teams with different priorities • care about building inclusive, supportive team environments and invest in the growth of others • comfortable navigating ambiguity and making decisions that balance short-term needs with long-term impact

🏖️ Benefits

• 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