Machine Learning Engineer Personalization

@ Spotify

About the Role

Spotify's Safe-and-Sound team makes Spotify safe and enjoyable for every listener. As a Machine Learning Engineer Personalization, you will contribute to designing, building, evaluating, shipping, and refining Spotify’s product through hands-on ML development.

What You'll Do

• Work on designing and building ML systems for recommendations.
• Collaborate with cross functional agile teams including research, design, data science, product management, and engineering.
• Prototype innovative approaches and productionize solutions at scale for hundreds of millions of users.
• Drive optimization, testing, and tooling to improve quality.
• Engage with a community of ML practitioners across Spotify, including in New York.

Who You Are

You have a strong background in machine learning with expertise in personalized ML algorithms and recommender systems. You are experienced with production ML systems in Java, Scala, Python or similar languages, and have familiarity with XGBoost and TensorFlow. You value agile software processes, data-driven development, reliability, and disciplined experimentation.

Where You'll Be

You can work from anywhere in North America as long as you can align with Eastern Standard Time collaboration. This position is flexible in terms of work location.

Compensation & Benefits

The US base salary range is $136,878 to $195,540 plus equity. Benefits include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave.

Equal Opportunity & Inclusion

Spotify is an equal opportunity employer committed to inclusivity. We welcome all backgrounds and foster diverse voices. Accommodations are available throughout the recruitment process upon request.

Key skills/competency

• Machine Learning
• Personalization
• Recommender Systems
• Agile
• Python
• Scala
• Java
• TensorFlow
• XGBoost
• Data-Driven