Spotify - Senior Machine Learning Engineer, Personalization
Requirements
• You have experience building, deploying, and improving machine learning systems in production environments. • You have a strong understanding of machine learning approaches for information retrieval, search ranking, recommendation systems, or personalization. • You are proficient in Python and comfortable working with modern machine learning frameworks and data processing tools. • You have experience and a desire to lean into backend engineering at Spotify scale. • You understand how to design and evaluate experiments, interpret model performance, and translate technical findings into product improvements. • You have experience working with large-scale datasets and understand the challenges of building reliable, scalable machine learning systems. • You are curious about emerging AI technologies, including large language models and agentic systems, and interested in their potential to improve discovery experiences. • You enjoy working across disciplines, communicating technical ideas clearly, and learning from different perspectives. • You are comfortable navigating ambiguity, taking ownership of complex challenges, and balancing experimentation with practical delivery. • Where You'll Be • This role is based in Eastern Standard Time • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. • The United States base range for this position is 184,049–262,928 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future. • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
Responsibilities
• Build and improve machine learning models that make Spotify Search more relevant, personalized, and engaging for listeners. • Develop and optimize ranking and backend retrieval systems that help listeners discover music, videos, audiobooks, and other content. • Explore emerging AI and agentic approaches to create more intuitive and conversational Search experiences. • Design, implement, and evaluate machine learning solutions, taking ideas from early experimentation through production. • Partner with engineers, product managers, designers, and researchers to identify opportunities and deliver meaningful improvements to Search. • Use experimentation, data analysis, and performance metrics to understand model behavior, validate hypotheses, and improve the listener experience. • Contribute to scalable machine learning infrastructure and engineering practices that support reliable, high-quality Search experiences.
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