Spotify18d ago

Senior Machine Learning Engineer, Personalization, Magenta

United States·New YorkRemotesenior

Data ScienceMachine Learning EngineerDataMachine LearningData & AI

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.

Technical Tools

Data ScienceMachine Learning EngineerDataMachine LearningData & AI

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. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

The Personalization team at Spotify makes deciding what to listen to next feel effortless for hundreds of millions of users — from Discover Weekly to our newest AI-powered experiences. We’re now building conversational AI capabilities that let users interact with Spotify in natural language. You’ll join a squad working at the core of this space, shaping how users discover and engage with audio through intelligent, responsive systems.

Design and ship production-grade machine learning systems powering conversational and agentic AI experiences

Build systems that interpret user intent, manage context across multi-turn interactions, and handle ambiguity reliably at scale

Develop and evolve agentic workflows including memory, context management, and multi-step tool orchestration

Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and guide iteration

Partner closely with product, engineering, and design to deliver seamless, user-facing experiences

Balance experimentation with production rigor, ensuring performance, latency, and reliability at Spotify scale

Continuously improve agent behavior through tight feedback loops between evaluation and real-world usage

You have 5+ years of experience building and shipping machine learning systems in production environments

You are experienced with large language models and have worked on real-world applications beyond experimentation; shipped and maintained large scale systems with LLMs

You have a deep understanding of challenges in conversational or agentic systems, such as context handling and multi-step reasoning

You know how to evaluate ML systems rigorously and have experience designing metrics or evaluation pipelines

You are comfortable debugging complex interactions between models, tools, and system constraints like latency

You care about building reliable, scalable systems that deliver high-quality user experiences

You enjoy working cross-functionally and contributing to a collaborative, inclusive team environment

This role is based in New York

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home

Location & Eligibility

Where is the job

New York, United States

Remote within one country

Who can apply

Listed under

United States

Listing Details

Posted: April 10, 2026
First seen: April 10, 2026
Last seen: April 29, 2026

Posting Health

Days active: 18
Repost count: 0
Trust Level: 44%
Scored at: April 29, 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.