
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.
🕒 September 24
🗽 New York – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🖥 Software Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 11%
Where this job comes from
Posted on Spotify's careers page, not through a job board
First seen by Remote Rocketship September 24
Still open on Spotify's site. Checked 9 hours ago.

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.
• Stay connected with Spotify following a conference • Explore potential ML/AI opportunities based on the candidate’s background, interests, and experience • Work on machine learning and AI problems involving recommendation systems, search and ranking, natural language understanding, generative AI, and audio analysis • Contribute to impactful work at scale personalizing music, podcasts, and audiobooks for hundreds of millions of listeners
• Talented researchers and engineers interested in machine learning and AI opportunities • Background, interests, and experience relevant to potential ML/AI opportunities
• Equal opportunity employer • Accessible recruitment process • Reasonable accommodations during the interview and application process
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