Machine Learning Engineer – Personalization

🕒 April 30

🗽 New York – Remote

🗽 New York – Remote

💵 $170k - $212k / year

⏰ Full Time

🟡 Mid-level

🟠 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 designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations • Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in various recommendation systems • Promote and role-model best practices of ML systems development, testing, evaluation, etc.

🎯 Requirements

• You have a background in machine learning • enjoy applying theory to develop real-world applications • experience in statistics and optimization • hands-on experience with large cross-collaborative machine learning projects • managing stakeholders • hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages • experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or similar • 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