Machine Learning Engineer I, Personalization

Spotify

Machine Learning Engineer enhancing music, podcast, and audiobook recommendations for Spotify users using AI and ML techniques. Collaborating with teams to build scalable systems optimizing content delivery.

Posted 5/11/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSenior💰 $138,250 - $197,500 per yearWebsite

Tech Stack

Tools & technologies

ApacheJavaPythonPyTorchScalaSparkSQLTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningLarge Language ModelsPythonScalaJavaSQLdata pipelinesPyTorchTensorFlowdata analysis

Soft Skills

collaborationteamworkcommunicationagile software processesdata-driven developmentreliabilitydisciplined experimentationproblem-solvingcreativityadaptability