Machine Learning Engineer - Personalization, Horizon

LondonRemotePermanentmid

Machine Learning EngineerData

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else.

Technical Tools

awsgcpsparkmachine-learning

You’ll join the Horizon Product Area within the Sessions Studio, part of Spotify’s Personalization Mission. This team focuses on inventing and evolving new listening experiences powered by emerging technologies. From AI DJ to promptable playlists and generated podcasts, we’re exploring how agentic systems and generative AI can reshape how people interact with audio. You’ll work at the intersection of product innovation and cutting-edge machine learning to bring entirely new experiences to life for millions of listeners.

Design, build, evaluate, and ship agentic based features and interactive experiences to bring our products to the next level

Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways

Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users

Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization

Actively contributed to a strong community of machine learning practitioners at Spotify

An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment

Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications

Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale based systems is a plus

Experience with incorporating human feedback to improve LLM based systems using technicals like DPO, KTO, and reinforcement fine-tuning

Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams

Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS

We offer you the flexibility to work where you work best! For this role, you can be within the European region as long as we have a work location.

This team operates within the GMT/CET time zone for collaboration.

Excluding France due to on-call restrictions.

Location & Eligibility

Where is the job

Worldwide

Fully remote, anywhere in the world

Who can apply

Same as job location

Listing Details

Posted: May 6, 2026
First seen: May 6, 2026
Last seen: May 8, 2026

Posting Health

Days active: 0
Repost count: 0
Trust Level: 76%
Scored at: May 6, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust

Apply for this position

Spotify

lever

Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.

Employees

3k+

Founded

2006

Domain

Jobs

External application · ~5 min on Spotify's site

Please let Spotify know you found this job on Jobera.