Machine Learning Engineer

Summary

Join the Safe-and-Sound team at Spotify and contribute to building responsible AI solutions for millions of users. You will be involved in designing, building, and refining Spotify's product through hands-on machine learning development. Collaborate with a cross-functional agile team to create new features that connect artists and fans. Prototype new approaches and implement solutions at scale. Help optimize, test, and improve the quality of our systems. This role offers flexibility in work location within the Americas and a competitive salary and benefits package.

Requirements

• You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems
• You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages
• You care about agile software processes, data-driven development, reliability, and disciplined experimentation

Responsibilities

• Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
• Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
• Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users
• Help drive optimization, testing, and tooling to improve quality
• Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another

Preferred Qualifications

Experience with XGBoost, TensorFlow

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