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AI Engineering Manager

1 month ago

London, Greater London, United Kingdom Spotify Full time

At Spotify, we use our deep understanding of consumer expectations to enrich the lives of millions of users worldwide. This involves bringing music and audio content to various devices, apps, and platforms they use every day.

About This Role

We are seeking a highly skilled AI Engineering Manager with expertise in large language models to join our Content Understanding teams as a Staff Machine Learning Engineer. In this role, you will help define and build machine learning systems at scale that drive value in media and catalog understanding.

Key Responsibilities
  • You will be the technical lead for a small team of engineers building and maintaining text understanding tools for tasks such as transcription, moderation, entity extraction, topic modeling, and summarization.
  • Craft and deliver solutions involving large language models, including training, fine-tuning, and maintenance of these models.
  • Conduct thorough research and analysis of the latest industry trends in LLM developments and introduce groundbreaking use cases for internal applications.
  • Collaborate with technical and non-technical business partners to develop analytics and metrics describing the performance of our text understanding systems and data quality.
  • Leverage innovative tooling within the Spotify ecosystem, such as TensorFlow, Kubeflow, DataFlow, python-beam, and Google Cloud Platform.
About You
  • Academic and proven experience in text understanding and natural language processing solutions, including large language models and speech-to-text transcription.
  • Expertise in training, fine-tuning, deploying, and maintaining large language models, including experience working with popular third-party foundation models.
  • Extensive experience working in product and data-driven environments (Python, Scala, Java, SQL, or C++) and cloud platforms (GCP or AWS).
  • Experience in architecting data pipelines and self-sufficiency in getting required data to build and evaluate models using tools like Dataflow, Apache Beam, or Spark.
  • Familiarity with MLOps and the model lifecycle, including AB testing, experimentation, push, and maintenance in production, observability, and monitoring.
  • Excellent communication skills and ability to translate business intuition into data-driven hypotheses resulting in impactful engineering solutions.
  • Experience cultivating a strong engineering culture in an agile environment.
What We Offer
  • An estimated salary range of $200,000-$250,000 per year, commensurate with experience.
  • Health insurance, six months paid parental leave, 401(K) retirement plan, 23 paid days off, 13 paid flexible holidays, and paid sick leave.
  • The opportunity to work on cutting-edge AI projects and contribute to the development of Spotify's machine learning capabilities.