Machine Learning Engineer - Personalization

Spotify USA

Company

Spotify

Location

USA

Type

Full Time

Job Description

The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists we’re a part of some of Spotify’s most-loved features. We build Responsible AI solutions by understanding our music podcasts and users better than anyone else. Join us and you’ll keep millions of users listening by making recommendations safe for each and every one of them.

What You'll Do

  • 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

Who You Are

  • 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. Experience with XGBoost TensorFlow is also a plus.

  • You care about agile software processes data-driven development reliability and disciplined experimentation

Where You'll Be

  • We are a distributed workforce enabling our band members to find a work mode that is best for them!

  • Where in the world? For this role it can be within the Americas region in which we have a work location

  • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.

  • Working hours? We operate within the Eastern Standard time zone for collaboration

The United States base range for this position is $136878- $195540 plus equity. The benefits available for this position include 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. These ranges may be modified in the future.

Apply Now

Date Posted

12/16/2024

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