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Delivering the best Spotify experience possible to as many people as possible, in as many moments as possible—that’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of users worldwide, bringing music and audio they love to their devices, apps, and platforms. Know what our users want? Join us and help Spotify deliver it.

As a Machine Learning Engineer in our Content Understanding teams, you will help define and build ML systems deployed at scale to support a broad range of use cases, driving value in media and catalog understanding.

Examples of work you may support include:

• Audio fingerprinting to identify music played in podcasts, enabling royalty payments to musicians
• Video and image tagging to understand content for moderation and recommendations
• Audiobook author attribution using graph ML approaches for search and recommendations
• Catalog track categorization to distinguish functional content from music tracks, aiding royalty calculations and search/recommendations

Our teams consist of product, machine learning, data, and backend engineers, along with subject matter experts with extensive experience in the music industry.

We seek a Machine Learning Engineer to help define and build Spotify’s capabilities in this area. Our team advances AI-based machine technology to enable smarter, more efficient, and intuitive ways to search, reuse, explore, or process metadata. You will leverage world-class engineering and machine learning techniques on real-world, large-scale data to impact our music catalog’s evolution.

What You'll Do

• Build production systems that enhance our listeners’ experience
• Contribute to designing, building, evaluating, and refining Spotify’s products through hands-on ML development
• Prototype new approaches and deploy solutions at scale for hundreds of millions of users
• Drive optimization, testing, and tooling to improve quality
• Perform data analysis to establish baselines and inform product decisions
• Collaborate with cross-functional teams spanning design, data science, product management, and engineering to develop new technologies and features

Who You Are

• Professional experience in applied machine learning
• Experience working in product and data-driven environments using Python, Scala, Java, SQL, or C++, with Python required
• Hands-on experience implementing or prototyping ML systems at scale
• Experience architecting data pipelines and retrieving data using tools like Dataflow, Apache Beam, or Spark
• Commitment to agile processes, data-driven development, reliability, and disciplined experimentation
• Passion for fostering collaborative teams
• Experience with TensorFlow, PyTorch, and Google Cloud Platform is a plus

Where You'll Be

• This role is based in New York City, USA, with flexible work arrangements including some in-person meetings.

Salary range: $112,664 - $195,540 plus equity. Benefits include health insurance, parental leave, 401(k), meal allowance, paid time off, and holidays.