Machine Learning Engineer - Personalization

May 30

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $138.3k - $197.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Spotify

WebsiteLinkedInAll Job Openings

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

• The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. • We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. • Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.

🎯 Requirements

• An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment • Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications • Hands-on expertise with implementing end-to-end production ML systems at scale in Python, Java or Scala • Experience with Pytorch and/or TensorFlow is a strong plus • Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams • Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS

🏖️ 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