Senior Machine Learning Engineer, Personalization
Description For Senior Machine Learning Engineer, Personalization
Spotify's Personalization team is seeking a Senior Machine Learning Engineer to join their innovative team responsible for beloved features like Discover Weekly and AI DJ. This role focuses on advancing personalized sessions with generative voice AI, specifically working with the Text-to-Speech (TTS) team called Speak. The position offers the opportunity to shape the future of audio recommendations and user experiences at one of the world's leading streaming platforms.
The role combines deep technical expertise in machine learning optimization with infrastructure management, requiring skills in both ML model deployment and scalable systems architecture. You'll be working at the intersection of research and production, translating cutting-edge ML models into efficient, production-ready systems that serve millions of users.
Working with Spotify means joining a company at the forefront of AI applications in audio technology. You'll collaborate with world-class researchers and engineers, solving complex challenges in speech synthesis and personalization. The position offers remote work flexibility within the European region, operating in the GMT/CET timezone, and provides the chance to impact how millions of users discover and enjoy audio content.
This is an ideal opportunity for someone passionate about machine learning, audio technology, and building scalable systems. You'll be instrumental in developing next-generation features that combine AI with audio experiences, working with modern technologies like PyTorch and Kubernetes in a collaborative, innovation-driven environment.
Responsibilities For Senior Machine Learning Engineer, Personalization
- Collaborate with multidisciplinary teams to optimize ML models for production
- Design and build efficient serving infrastructure for ML models across regions
- Optimize machine learning models in PyTorch for real-time serving
- Lead ML model transition from research to production
- Build and maintain scalable Kubernetes clusters
- Implement and monitor logging metrics
- Participate in on-call schedule
- Influence technical design and architecture decisions
- Collaborate with stakeholders on ML model serving initiatives
Requirements For Senior Machine Learning Engineer, Personalization
- Passion for speech, audio and/or generative machine learning
- World-class expertise in optimizing ML models for production
- Extensive experience with machine learning frameworks like PyTorch
- Experience in building scalable infrastructure for ML models
- Experience managing Kubernetes clusters in multi-region setups
- Strong understanding of ML model production deployment
- Familiarity with logging metrics and production issues
- Collaborative mindset
- Experience with low-level ML libraries (Triton, CUDA) preferred
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