Machine Learning Engineer for Voice AI

4 days ago


Stockholm, Stockholm, Sweden Spotify Full time
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our Personalization team. As a key member of this team, you will play a crucial role in developing and deploying machine learning models that enhance users' experience of music and podcast recommendations.

Responsibilities include collaborating with cross-functional teams to optimize machine learning models for production use cases, designing and building efficient serving infrastructure, and leading the effort to transition models from research to production.

Requirements
  • Passion for speech, audio, and/or generative machine learning.
  • World-class expertise in optimizing machine learning models for production use cases, and extensive experience with machine learning frameworks like PyTorch.
  • Experience in building efficient, scalable infrastructure to serve machine learning models, and managing Kubernetes clusters in multi-region setups.
  • Strong understanding of bringing machine learning models from research to production and comfortable working with innovative, cutting-edge architectures.
  • Familiarity with writing logging metrics and diagnosing production issues, and willingness to take part in an on-call schedule to maintain uptime and performance.
  • Collaborative mindset, enjoying working closely with research scientists, machine learning engineers, and backend engineers to innovate and improve model deployment pipelines.
  • Thriving in environments that require solving complex infrastructure challenges, including scaling and performance optimization.


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