Senior Machine Learning Engineer – Personalization

🕒 May 19

🗽 New York – Remote

🗽 New York – Remote

💵 $210k - $260k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Spotify

WebsiteLinkedInAll Job Openings

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 the design, development, evaluation, and iteration of recommendation models powering music surfaces • Drive hands-on ML development to improve recommendation quality across core surfaces • Contribute to the team's adoption of generative recommendation models • Promote best practices in ML systems development and testing • Collaborate with Data Science, Product, and Design partners to define success metrics and run A/B experiments • Partner with teams across Personalization to integrate and test new signals in recommendation systems

🎯 Requirements

• Strong background in machine learning with expertise in statistics and optimization • Hands-on experience building and shipping production machine learning systems at scale • Experience implementing ML systems in Java, Scala, Python, or similar languages • Familiarity with PyTorch, Ray or Hugging Face is a plus • Some experience with large-scale distributed data processing frameworks like Apache Beam, Apache Spark, or Scio • Experience with cloud platforms like GCP or AWS • Experience collaborating on complex ML projects and navigating cross-functional stakeholders • Care about agile software processes, data-driven development, reliability, and disciplined experimentation

🏖️ 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