Machine Learning Engineer, Personalization

Spotify • New York, NY

422d • $136,878 - $195,540 • Remote

About The Position

The Safe-and-Sound team at Spotify is dedicated to creating a safe and enjoyable listening experience for users. This role involves hands-on machine learning development to enhance Spotify's product offerings, including podcast recommendations and AI playlists. The position requires collaboration with a cross-functional agile team to design, build, and refine features that connect artists and fans in personalized ways.

Requirements

• Strong background in machine learning with expertise in personalized machine learning algorithms, particularly recommender systems.
• Hands-on experience implementing production machine learning systems at scale using Java, Scala, Python, or similar languages.
• Familiarity with XGBoost and TensorFlow is a plus.
• Commitment to agile software processes, data-driven development, reliability, and disciplined experimentation.

Responsibilities

• Contribute to designing, building, evaluating, shipping, and refining Spotify's product through hands-on ML development.
• Collaborate with a cross-functional agile team including user research, design, data science, product management, and engineering to build new product features.
• Prototype new approaches and production-ize solutions at scale for hundreds of millions of active users.
• Drive optimization, testing, and tooling to improve quality.
• Engage with a community of machine learning practitioners across Spotify.

Benefits

• Extensive learning opportunities through the dedicated team, GreenHouse.
• Flexible share incentives allowing employees to choose how they share in the company's success.
• Global parental leave of six months fully paid for all new parents.
• Employee assistance program and self-care hub, All The Feels.
• Flexible public holidays allowing employees to swap days off according to their values and beliefs.
• Health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, and 13 paid flexible holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: No Education Listed