Senior Machine Learning Engineer - Personalization

February 14

🗽 New York – Remote

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

💵 $176.2k - $251.7k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Spotify

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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 Now Playing View team is a new surface on Spotify that gives users a chance to engage deeply with the content they are currently playing, and explore new content related to what’s currently playing. • With content like concerts, lyrics, and merchandise, as well as playable recommendations like music, podcasts, and audiobooks, there is a huge opportunity to scale and personalize recommendations on the surface. • The Home NPV team is looking for a Senior Machine Learning Engineer to join a team of talented engineers with a common interest in distributed systems, scalability, and Machine Learning best practices. • You will be responsible for training and deploying the first models to power the NPV surface, across Music, Podcasts, and Audiobooks. • You will work closely with the Backend and Data engineers on the team to meet latency requirements.

🎯 Requirements

• experience being a technical leader or mentor • strong background in machine learning, personalized machine learning algorithms, especially recommender systems • experienced with feature engineering and building scalable data pipelines in Scio • deep understanding of Machine Learning systems and infrastructure • experience in Tensorflow or Keras

🏖️ 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