[Remote] Machine Learning Engineer I, Personalization , Minesweeper

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Note: The job is a remote job and is open to candidates in USA. Spotify is a leading audio streaming subscription service, and they are seeking a Machine Learning Engineer I to join their Personalization team. The role involves utilizing AI and ML techniques to enhance music, podcast, and audiobook recommendations, while collaborating with cross-functional teams to develop innovative features.


Responsibilities

  • Utilize in-house and 3rd party LLMs to solve language understanding problems
  • Employ techniques such as fine-tuning and RAG to improve models
  • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
  • Help drive optimization, testing, and tooling to improve quality of our content enrichment assets
  • Collaborate with cross-functional teams of MLEs, data and backend engineers, and other stakeholders including tech research, data science, and product to develop new features and technologies
  • Be a participant in our AI Foundation’s ML community and work collaboratively and efficiently within our existing platforms and systems Perform data analysis to establish baselines and inform product decisions
  • Stay up-to-date on the latest machine learning algorithms and techniques

Skills

  • You have a strong background in machine learning, especially experience with Large Language Models
  • You have professional experience in applied machine learning
  • Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, with Python experience required) and cloud platforms (GCP or AWS)
  • You have some hands-on experience implementing or prototyping machine learning systems at scale
  • You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark
  • You care about agile software processes, data-driven development, reliability, and disciplined experimentation
  • You have experience and passion for fostering collaborative teams
  • Experience with PyTorch, TensorFlow, and/or other scalable Machine learning frameworks
  • Experience with Ray or TFX is a plus
  • Bonus if you have experience with architecting near real time pipelines

Benefits

  • Equity
  • Health insurance
  • Six month paid parental leave
  • 401(k) retirement plan
  • Monthly meal allowance
  • 23 paid days off
  • 13 paid flexible holidays
  • Paid sick leave

Company Overview

  • Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. It was founded in 2006, and is headquartered in Stockholm, Stockholms Lan, SWE, with a workforce of 5001-10000 employees. Its website is http://www.spotify.com.

    • Company H1B Sponsorship

  • Spotify has a track record of offering H1B sponsorships, with 15 in 2026, 140 in 2025, 117 in 2024, 169 in 2023, 259 in 2022, 172 in 2021, 115 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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