Spotify

Machine Learning Engineer, Personalization

Spotify

full-time

Posted on:

Location Type: Remote

Location: Remote • New York • 🇺🇸 United States

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Salary

💰 $138,250 - $197,500 per year

Job Level

Mid-LevelSenior

Tech Stack

ApacheAWSCloudGoogle Cloud PlatformJavaPythonPyTorchRayScalaSparkSQLTensorflow

About the role

  • 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

Requirements

  • 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
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learninglarge language modelsfine-tuningRAGdata analysisPythonScalaJavaSQLdata pipelines
Soft skills
collaborationteamworkcommunicationagile processesdata-driven developmentreliabilityexperimentationproblem-solvingcreativityadaptability