Job Description
Job Overview
The Personalization team at Spotify is dedicated to enhancing the listening experience by providing tailored music, podcast, and audiobook recommendations. As a Machine Learning Engineer, you will play a crucial role in designing and implementing ML solutions that improve Spotify's personalization products, impacting millions of users worldwide.
Technical Requirements
Required Skills
- • machine learning
- • natural language processing
- • generative AI
- • end-to-end production ML systems
- • Python
Preferred Skills
- • Pytorch
- • TensorFlow
- • Java
- • Scala
- • Apache Beam
- • Apache Spark
- • GCP
- • AWS
Experience Level
Experienced ML practitioner
Responsibilities
- • Design, build, evaluate, and ship ML solutions in Spotify’s personalization products
- • Collaborate with cross-functional teams to build new product features
- • Prototype new approaches and productionize solutions at scale
- • Promote and role-model best practices of ML systems development
Benefits & Perks
- • Extensive learning opportunities
- • Flexible share incentives
- • Global parental leave
- • Employee assistance program
- • Flexible public holidays
- • Health insurance
- • 401(k) retirement plan
- • Monthly meal allowance
- • Paid days off
- • Paid flexible holidays
- • Paid sick leave
Additional Information
- Location
-
New York, North America region
- Type
-
Permanent
- Compensation
-
$138,250 - $197,500 plus equity