Lead Developer for Large Language Models

7 days ago

London, Greater London, United Kingdom Spotify Full time

Job Summary:

We are seeking an exceptional Lead Developer for Large Language Models to join our Content Understanding teams at Spotify.

About the Role:

  • You will be the technical lead for a small team of engineers building and maintaining text understanding tools for transcription, moderation, entity extraction and resolution, topic modeling, and summarization.
  • Crafting and delivering solutions involving Large Language Models, including training, fine-tuning, and maintaining these models.
  • Collaborating with Product and Engineering leadership to shape the future vision for text understanding tooling.
  • Conducting thorough research and analysis of the latest industry trends in LLM developments and introducing groundbreaking use cases for internal applications.
  • Working with technical and non-technical business partners to develop analytics and metrics that describe the performance of our text understanding systems and the quality of our data.
  • Leveraging existing innovative tooling in the Spotify ecosystem, such as TensorFlow, Kubeflow, DataFlow, python-beam, and Google Cloud Platform.

About You:

  • A strong background in both academic and proven experience in text understanding and natural language processing solutions, such as Large Language Models (LLMs) and Speech-to-Text transcription.
  • Expertise in training, fine-tuning, deploying, and maintaining LLMs, including experience working with popular third-party foundation models like Llama, OpenAI, and Gemini.
  • Familiarity with various fine-tuning techniques in the LLM domain, such as RAG and LoRA adapters.
  • Extensive experience working in a product and data-driven environment, utilizing languages like Python, Scala, Java, SQL, or C++, with Python experience required.
  • Understanding storage solutions and when to use them, such as Graph Database, Cassandra, Relational database.
  • Experience architecting data pipelines and being self-sufficient in getting the data needed to build and evaluate models using tools like Dataflow, Apache Beam, or Spark.
  • A good understanding of MLOps and the model lifecycle, including AB/Testing, experimentation, pushing and maintaining models in production, observability, and monitoring.
  • Excellent communication skills and the ability to translate business intuition into data-driven hypotheses that result in impactful engineering solutions.
  • The ability to mentor and encourage collaborative teams.
  • A passion for cultivating a strong engineering culture in an agile environment.

What We Offer:

  • An estimated salary range of $205,800 - $294,000, plus equity.
  • A comprehensive benefits package, including health insurance, six months paid parental leave, 401(K) retirement plan, 23 paid days off, 13 paid flexible holidays, and paid sick leave.

About Us:

We are a distributed workforce enabling our employees to find a work mode that suits them best. For this role, we are open to candidates within the Eastern US region or located in London, UK, operating within the Eastern US time zones for collaboration. Find more information about our Work From Anywhere options here.

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