Job Description
Job Overview
The Senior Machine Learning Engineer for Personalization at Spotify will be part of the Safe-and-Sound team, which focuses on creating responsible AI solutions for enhancing user experiences. This role involves designing, building, and evaluating machine learning solutions to improve safety in Spotify's personalization products, ensuring enjoyable and safe recommendations for millions of users.
Technical Requirements
Required Skills
- • machine learning
- • natural language processing
- • generative AI
- • end-to-end production ML systems
- • Java
- • Scala
- • Python
Preferred Skills
- • Pytorch
- • TensorFlow
- • Scikit-learn
- • Apache Beam
- • Apache Spark
- • cloud platforms like GCP or AWS
Experience Level
Experienced ML practitioner
Responsibilities
- • Design, build, evaluate, and ship ML solutions for safety in personalization products
- • Collaborate with cross-functional teams to build new product features
- • Prototype new approaches and productionize solutions at scale
- • Promote best practices of ML systems development and testing
Benefits & Perks
- • Extensive learning opportunities
- • Flexible share incentives
- • Global parental leave (six months off for new parents)
- • Employee assistance program and self-care hub
- • Flexible public holidays
- • Health insurance
- • 401(k) retirement plan
- • Monthly meal allowance
- • 23 paid days off
- • 13 paid flexible holidays
- • Paid sick leave
Additional Information
- Location
-
New York
- Type
-
Permanent
- Compensation
-
Base range of $176,166 - $251,666 plus equity