
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
October 23
🗽 New York – Remote
💵 $215.1k - $307.3k / year
⏰ Full Time
🔴 Lead
📚 Research Engineer
🦅 H1B Visa Sponsor

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
• closely collaborate with research scientists • improve model training pipelines • optimize performance • integrate models into production environments • incorporate state-of-the-art research • maintain a high-quality codebase • enhance researcher experience
• experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks • experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure • understand how to debug problems in machine learning training code • communicate effectively with global teams • experience optimizing code for performance • learn new concepts and technologies quickly • resourceful and proactive • grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like • interest in learning more about audio processing and music information retrieval
• health insurance • six month paid parental leave • 401(k) retirement plan • a monthly meal allowance • 23 paid days off • 13 paid flexible holidays
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