The Personalization (PZN) team at Spotify is focused on making music recommendations more enjoyable. The role involves designing and scaling machine learning systems for recommendation reward signals, leading cross‑team collaborations and A/B testing, and upholding best practices in ML system development. Candidates will work remotely from the United States, leveraging large‑scale data processing frameworks and cloud platforms to drive data‑driven product improvements.
Spotify - Machine Learning Engineer - Personalization en Spotify
Remoto - New York, NY
Más vacantes en SpotifySalary
USD 170,000 - 212,000/year
Requirements
Skills
- machine learning
- statistics
- optimization
- sequential models
- transformers
- generative AI
- large language models
- fine-tuning
- Java
- Scala
- Python
- Apache Beam
- Apache Spark
- Scio
- GCP
- AWS
- agile software processes
- data-driven development
- reliability
- disciplined experimentation
- collaborations
- stakeholder management
- A/B testing
- ML systems development
Languages
- English
Responsibilities
- Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands‑on ML development.
- Lead collaborations and align across Personalization to integrate and A/B test mid‑term signals in various recommendation systems.
- Promote and role‑model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.
Technologies
JavaScalaPythonApache BeamApache SparkScioGCPAWS
Descubre si tu currículum está listo para esta vacante
Mira cómo nuestra IA puede optimizar tu currículum y aumentar tus chances en este puesto.