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Machine Learning Engineer I, Personalization , Minesweeper

3 weeks, 6 days ago
North America, United States, Canada
Full-time
Entry Level
Machine Learning Engineer
Data Science and Analytics
Agile Apache Spark AWS GCP Java LLM Machine Learning Python PyTorch Scala SQL TensorFlow
Apply Now
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
View All Jobs 64

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 (RAG) to improve models.
  • Design, build, evaluate, ship, and refine machine learning features and product capabilities.
  • Drive optimization, testing, and tooling to improve the quality of content enrichment assets.
  • Collaborate with machine learning engineers, data engineers, backend engineers, researchers, and product stakeholders.
  • Support development of new features and technologies across Spotify’s personalization systems.
  • Perform data analysis to establish baselines and inform product decisions.
  • Participate in the AI Foundation’s ML community and work within existing platforms and systems.
  • Stay current on the latest machine learning algorithms and techniques.

Requirements

  • Strong background in machine learning, especially large language models.
  • Professional experience in applied machine learning.
  • Experience working in a product- and data-driven environment.
  • Python experience required; familiarity 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 retrieving data needed to build and evaluate models.
  • Familiarity with tools such as Dataflow, Apache Beam, or Spark.
  • Experience with agile software processes, data-driven development, reliability, and disciplined experimentation.
  • Experience with PyTorch, TensorFlow, or other scalable machine learning frameworks; Ray or TFX is a plus.
  • Experience with architecting near real-time pipelines is a bonus.

Benefits

  • Base salary range of $120,465 to $172,093 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

Apply Now

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