Spotify
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.
Senior Machine Learning Engineer, Personalization, Rewards
🕒 May 12
🗽 New York – Remote
💵 $184.1k - $262.9k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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Spotify
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
• contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations • lead collaborations and align across PZN to integrate and A/B test mid-term signals • promote best practices of ML systems development throughout the organization • responsible for ML development, prototyping models, building pipelines, productizing/scaling models, and launching A/B tests
🎯 Requirements
• strong background in machine learning • experience in Reinforcement Learning (RL) for recommendations • expertise in statistics and optimization • experience with sequential models, transformers, generative AI, LLMs (large language models are a plus)
🏖️ 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
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