---
title: 'Senior Machine Learning Engineer, Personalization, Muse at Spotify'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-personalization-muse-spotify-new-york-1jczqyx54jke'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Machine Learning Engineer, Personalization, Muse at Spotify

- **Company:** Spotify
- **Location:** New York, NY
- **Work type:** remote
- **Posted:** 2026-04-29
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/spotify/d7c43743-2240-45b6-bc31-33e50cbaba4a

## Job description

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. You’ll join a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to. This team collaborates closely with product, design, user research, and data science to build personalized, high-impact features used by hundreds of millions of listeners worldwide.

## What You'll Do

- Design, build, evaluate, and ship LLM-based solutions that give users more adaptive control over their listening experience
- Work on prompted playlist experiences with a focus on music fulfillment and session generation
- Collaborate with cross-functional partners across user research, design, data science, product, and engineering
- Prototype new ML approaches and bring them into production at global scale
- Build and improve systems that connect artists and fans in personalized and meaningful ways
- Contribute to the development of scalable ML systems serving hundreds of millions of users
- Promote best practices in ML system design, testing, evaluation, and deployment across the organization
- Actively contribute to a strong community of machine learning practitioners at Spotify

## Who You Are

- You are experienced in machine learning and enjoy solving complex real-world problems in collaborative environments
- You have a strong background in machine learning, natural language processing, and generative AI
- You are comfortable applying theory to build real-world, production-ready applications
- You have hands-on experience building and deploying end-to-end ML systems at scale
- You are familiar with LLM-based systems and techniques for improving them using human feedback such as reinforcement fine-tuning, DPO, or similar approaches
- You have experience designing modular ML architectures and writing technical specifications in partnership with product teams
- You are experienced with large-scale distributed data processing tools such as Apache Beam or Apache Spark
- You have worked with cloud platforms like GCP or AWS

Where You'll Be

- 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.

The United States base range for this position is $184,050 $262,928 plus equity. The benefits available for this position include 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. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

## About Spotify

## Company Overview
- **One-liner**: Spotify is the world's most popular audio streaming subscription service, connecting users to over 100 million tracks, 7 million podcast titles, and 700,000 audiobooks across 184 markets.
- **Entity Type**: Public (NYSE: SPOT)
- **Headquarters**: Stockholm, Sweden
- **Founded**: 2006
- **Founders**: Daniel Ek and Martin Lorentzon

## Core Business
- Primary industry: Audio streaming and digital media
- Target customers: B2C (consumers via Free and Premium tiers) and B2B (advertisers, artists, and labels through Spotify Advertising and Spotify for Artists)
- Mission: "To deliver creativity to the world—one note, one voice, one idea at a time."

## Products & Services
- **Spotify Free**: Ad-supported streaming of music, podcasts, and audiobooks
- **Spotify Premium**: Subscription tier with offline mode, improved sound quality, and ad-free listening
- **Spotify for Artists**: Analytics, promotion, and monetization tools for creators
- **Spotify Advertising**: Programmatic and self-serve ad platform for brands
- **Audiobooks**: Catalog of 700,000+ audiobook titles (market entry in 2022)

## Market Standing
- **Valuation/Market Cap**: Not disclosed in available sources; stock price reported at USD 391.23 (as of 2024-10-29)
- **Key Metric**: Annual Revenue EUR 17.2B; 777 million monthly users including 300 million subscribers (per Spotify Newsroom). Note: LinkedIn company data lists 365M users/165M subscribers — conflicting reports, likely reflecting an older snapshot.
- **Notable Investors/Partners**: Series A of USD 21.6M with 5 investors (2008); debt financing of USD 1.0B (2016); convertible notes in 2016 and 2021. Key acquisitions include Sonantic (2022), Mediachain (2017), and Tunigo (2013).
- **Growth Signals**: Headcount grew +14.2% YoY to 8,921 employees; 9 offices across 4 countries; expansion into audiobooks; 300M+ paying subscribers.

## Competitive Advantages
- Scale: largest audio streaming subscriber base globally
- Data and AI personalization: mature recommendation engines and AI-driven discovery
- Multi-format audio ecosystem: music, podcasts, and audiobooks in a single app
- Strong brand recognition and deep creator relationships

## Strategic Focus
- AI-powered personalization and generative audio tools
- Audiobook market expansion
- Podcast ecosystem growth
- Creator monetization and artist tools

## Why Work Here
- Employer rating 4.0/5.0 from 2,155 reviews (Work-Life: 4.2, Compensation: 3.9, Culture: 4.0, Career: 3.5)
- **Work

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