Senior ML Engineer, Personalization & Gen AI (Remote)

Spotify; New York (NY); On-site; USD 210,000 - 260,000; Full time

Benefits offered by this job

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

Job summary

Spotify is seeking a Machine Learning Engineer to join the Personalization team in New York. In this role, you will design and develop recommendation models that enhance user experiences with innovative strategies. The ideal candidate has a strong machine learning background, particularly in generative AI and production systems.

You will collaborate cross-functionally to define metrics, integrate new signals, and drive continuous improvements on platforms like Home and Now Playing. A competitive salary of $210,000 - $260,000 plus benefits is offered.

Qualifications

• Strong background in machine learning with a focus on real-world applications.
• Hands-on experience building production machine learning systems.
• Expertise in implementing ML systems in programming languages like Java or Python.
• Experience with distributed data processing frameworks and cloud platforms.
• Ability to collaborate on complex ML projects across teams.

Responsibilities

• Design and develop recommendation models for Spotify.
• Drive hands-on machine learning development for improved recommendation quality.
• Adopt generative recommendation models in collaboration with other teams.
• Promote best practices in ML systems development.
• Define success metrics and run A/B experiments for product improvements.
• Integrate and test new signals in recommendation systems.

Skills

Machine learning

Statistics

Optimization

Generative AI

Large language models

Java

Scala

Python

PyTorch

Apache Spark

Collaboration

Tools

Apache Beam

GCP

AWS

Job description

Spotify is seeking a Machine Learning Engineer to join the Personalization team in New York. In this role, you will design and develop recommendation models that enhance user experiences with innovative strategies. The ideal candidate has a strong machine learning background, particularly in generative AI and production systems.

You will collaborate cross-functionally to define metrics, integrate new signals, and drive continuous improvements on platforms like Home and Now Playing. A competitive salary of $210,000 - $260,000 plus benefits is offered.