Senior Machine Learning Engineer, Personalization - Remote

Overview

The Personalization team at Spotify is focused on enhancing user experience through personalized music and podcast recommendations using advanced machine learning techniques.

In Short

• Collaborate with a multidisciplinary team to optimize machine learning models for production.
• Design and build efficient serving infrastructure for machine learning models.
• Optimize models in Pytorch for real-time serving.
• Lead the transition of models from research to production.
• Build and maintain scalable Kubernetes clusters.
• Implement logging metrics and diagnose infrastructure issues.
• Influence technical design and architecture decisions.
• Collaborate with stakeholders on model serving initiatives.

Requirements

• Passion for speech, audio, and generative machine learning.
• Expertise in optimizing machine learning models for production.
• Experience with Pytorch and scalable infrastructure.
• Strong understanding of transitioning models to production.
• Familiarity with logging metrics and production issue diagnosis.
• Collaborative mindset with a focus on innovation.
• Ability to solve complex infrastructure challenges.
• Experience with low-level machine learning libraries is a bonus.

Benefits

• Flexibility to work from anywhere within the European region.
• Collaboration within the GMT/CET time zone.
• Excluding France due to on-call restrictions.