Senior Machine Learning Engineer, Personalization- Home Music

$171,903 - $245,575/Yr

Spotify - New York, NY

Full-time - Mid Level

Remote - New York, NY

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Personalization team at Spotify is focused on enhancing the listening experience for users by developing machine learning models that generate personalized music recommendations. This role involves building and optimizing ML models for various Spotify features, collaborating with cross-functional teams, and ensuring the reliability of production systems.

Responsibilities

• Build ML models used in generating candidates for music recommendations on Spotify's Home surface, including the Spotify Main feed and the music subfeed.
• Build ML models used to order the music content appearing on carousel shelves on Spotify.
• Collaborate with a cross-functional agile team spanning user research, design, data science, product management, and engineering to build new user experiences.
• Prototype new approaches and production-ize solutions at scale for hundreds of millions of active users.
• A/B test the ML models developed to understand their impact on the recommendations experience.
• Monitor and troubleshoot production ML and backend systems on occasion.

Requirements

• Strong background in machine learning with expertise in personalized machine learning algorithms, especially recommender systems.
• Hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with TensorFlow is a plus.
• Experience with data pipeline tools like Apache Beam or Scio and cloud platforms like GCP or AWS.
• Understanding of agile software processes, data-driven development, reliability, and disciplined experimentation.

Nice-to-haves

• Experience with TensorFlow.
• Familiarity with agile software processes.

Benefits

• Health insurance
• Six months paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays
• Paid sick leave