Machine Learning Engineer, Personalization

🕒 April 15

🏢🏡 London – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 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

• Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces • Develop multi-objective optimization strategies that balance user satisfaction with business outcomes • Collaborate closely with cross-functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions • Work across ML, backend, and data layers to bring models into production • Contribute to scalable infrastructure supporting high-volume user interactions • Run experiments and use insights to continuously improve performance • Help shape technical direction and raise the bar for engineering excellence within the team

🎯 Requirements

• 5+ years of experience in machine learning, data, or backend engineering • Experienced with production-grade systems and scalable architectures • Worked on recommendation systems, ranking, or optimization problems • T-shaped skillset across ML, data, and backend domains • Comfortable navigating ambiguity and solving complex problems • Care about user experience and measurable impact • Enjoy collaborating across disciplines and geographies

🏖️ Benefits

• Flexible working hours • Remote work options • Opportunities for personal development