# Machine Learning Engineer - Personalization Team

**Company**: Spotify
**Location**: New York
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $184,050 - $262,928
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/spotify/d7c43743-2240-45b6-bc31-33e50cbaba4a?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_be533d8a-2f2

## Description

The Personalization team at Spotify makes deciding what to play next easier and more enjoyable for every listener. You will join a team working at the intersection of machine learning, music understanding, and user experience, focusing on generating music sessions powering experiences like conversational playlist generation.

### Responsibilities

- 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

### Requirements

- Experienced in machine learning and enjoy solving complex real-world problems in collaborative environments

- Strong background in machine learning, natural language processing, and generative AI

- Comfortable applying theory to build real-world, production-ready applications

- Hands-on experience building and deploying end-to-end ML systems at scale

- Familiar with LLM-based systems and techniques for improving them using human feedback

- Experience designing modular ML architectures and writing technical specifications in partnership with product teams

- Experienced with large-scale distributed data processing tools such as Apache Beam or Apache Spark

- Have worked with cloud platforms like GCP or AWS

### Location and Benefits

- Based in New York with flexibility to work from home

- The United States base range for this position is $184,050 - $262,928 plus equity

- Benefits 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

## Skills

### Required
- machine learning
- natural language processing
- generative AI
- LLM-based systems
- Apache Beam
- Apache Spark
- GCP
- AWS

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/spotify/d7c43743-2240-45b6-bc31-33e50cbaba4a?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)