
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.
3 days ago
🗽 New York – Remote
đź’µ $68.5k - $97.9k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Machine Learning 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.
• help develop AI and ML systems that improve how Spotify detects, reviews, and manages risky or non-compliant activity • work with engineers, data scientists, and policy partners to design and evaluate models • automate performance tracking and enhance transparency and auditability • building solutions that advance safety, compliance, and responsible innovation
• 1+ years of experience (academic or professional) applying ML, NLP, or data science methods to real-world problems • working knowledge of machine learning fundamentals • hands-on experience with Python and modern ML frameworks like PyTorch or TensorFlow • experience working with large datasets, model evaluation, and data exploration in SQL or similar tools • knowledge and/or experience building workflows that integrate LLMs and data into autonomous, multi-step workflows • collaboration skills and clear communication across disciplines
• 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
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