Spotify

Spotify

Spotify is a leading global audio streaming service empowering artists and inspiring fans worldwide with over 70 million tracks. It has 365 million users, including 165 million subscribers, across 178 markets.

Media
Founded 2006

Description

  • Use in-house and third-party large language models to solve language understanding problems.
  • Apply techniques such as fine-tuning and retrieval-augmented generation to improve model performance.
  • Design, build, evaluate, ship, and refine machine learning-powered product features.
  • Drive optimization, testing, and tooling improvements for content enrichment assets.
  • Collaborate with data engineers, backend engineers, researchers, product, data science, and other stakeholders.
  • Contribute to the AI Foundation’s ML community and work within existing platforms and systems.
  • Perform data analysis to establish baselines and inform product decisions.
  • Stay current on machine learning algorithms, techniques, and emerging approaches.

Requirements

  • Strong background in machine learning, especially large language models.
  • Professional experience in applied machine learning.
  • Extensive experience in a product- and data-driven environment.
  • Proficiency with Python; experience with Scala, Java, and SQL is also relevant.
  • Experience with cloud platforms such as GCP or AWS.
  • Hands-on experience implementing or prototyping machine learning systems at scale.
  • Experience architecting data pipelines and obtaining data for model building and evaluation.
  • Familiarity with tools such as Dataflow, Apache Beam, or Spark.
  • Experience with PyTorch, TensorFlow, or other scalable machine learning frameworks.
  • Experience with Ray or TFX is a plus.
  • Bonus if you have experience architecting near real-time pipelines.

Benefits

  • Salary range of $138,250 to $197,500 USD plus equity.
  • Health insurance.
  • Six months of paid parental leave.
  • 401(k) retirement plan.
  • Monthly meal allowance.
  • 23 paid days off.
  • 13 paid flexible holidays.
  • Paid sick leave.

Interested in this position?

Apply directly on the company website

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