Spotify
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.
5001 - 10000 employees
Founded 2008
📱 Media
👥 B2C
🛍️ eCommerce
Staff Machine Learning Engineer
September 16
🗽 New York – Remote
💵 $215.1k - $307.3k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
Spotify
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.
5001 - 10000 employees
Founded 2008
📱 Media
👥 B2C
🛍️ eCommerce
📋 Description
• Define and drive the ML technical strategy for Search, focusing on retrieval, ranking, and generative approaches • Build models that improve query understanding, personalization, and relevance across Spotify’s Search experiences • Collaborate with a cross-functional agile team spanning user research, design, data science, product management, and engineering • Prototype and productionize new modeling approaches at scale, serving hundreds of millions of users worldwide • Lead high-impact projects from ideation through deployment, setting best practices for ML development, testing, evaluation, and experimentation • Partner with tech leaders and stakeholders to influence priorities and ensure long-term scalability and impact • Stay engaged with the broader ML and Search research community, applying emerging trends to Spotify’s challenges
🎯 Requirements
• Strong background in machine learning and recommender systems, bridging research and user impact • Hands-on experience training and operating transformer models in production, or strong interest in doing so • Production experience developing large-scale ML systems in Java, Scala, Python, or similar languages • Experience with PyTorch or TensorFlow is a strong plus • Comfortable navigating ambiguity and leading high-impact projects from start to finish • Systems thinker and strong communicator who can align and influence technical and product stakeholders • Care deeply about agile processes, data-driven development, and reliability • Eager to apply emerging ML trends, particularly in LLMs and generative recommenders, to Spotify’s challenges
🏖️ 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 • Equity
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