# Staff Machine Learning Engineer

**Company**: Spotify
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Salary**: $227,495.00 - $324,993 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/spotify/cb45b193-9f92-4e9b-b936-8a738eed5fdc?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1a39a2b6-067

## Description

The Music Mission team at Spotify owns the end-to-end proposition for music creators and the experiences they create for fans. The DISCO Product Area focuses on building promotional tools to help artists reach more fans. As a Staff Machine Learning Engineer, you will help shape the Machine Learning technical strategy for this high-impact area, partnering across engineering, product, data science, research, and design to create tools that help artists grow their audiences while supporting Spotify's core business.

### Responsibilities

- Help define and drive the Machine Learning engineering strategy for Discovery Mode and related royalty programs, translating product goals into scalable technical solutions.

- Design, build, evaluate, ship, and refine production Machine Learning systems through hands-on development.

- Provide technical leadership across complex ML initiatives, helping teams make thoughtful architectural and engineering decisions while balancing near- and long-term priorities.

- Collaborate with user research, design, data science, product management, and engineering to build new product capabilities that strengthen connections between artists and fans.

- Prototype new approaches and turn successful ideas into reliable, scalable solutions for Spotify for Artists customers.

- Drive experimentation, optimization, testing, and tooling that improve the quality, reliability, and effectiveness of our Machine Learning systems.

- Partner with engineers and Machine Learning practitioners across Spotify, including Music Tech Research and Personalization, to explore and develop new approaches to music promotion.

- Help grow the technical capabilities of the broader engineering community through mentorship, knowledge sharing, and strong engineering practices.

### Requirements

- Deep experience with Machine Learning and a strong understanding of Machine Learning algorithms, modeling approaches, evaluation, and experimentation.

- Hands-on experience designing and implementing production Machine Learning systems at scale using languages such as Python, Java, Scala, or similar.

- Ability to set technical direction for complex ML problems while remaining close to implementation and delivery.

- Care about reliable software, data-informed development, disciplined experimentation, and building systems that perform effectively at scale.

- Enjoy leading technically complex projects from idea through production and working closely with teammates and partners to deliver meaningful outcomes.

- Comfortable navigating ambiguity, evaluating trade-offs, and creating clarity on high-impact initiatives.

- Communicate technical decisions and risks clearly and can build alignment with senior technical leaders and cross-functional partners.

- Care about creating products that better serve artists and their teams, and take a collaborative, team-first approach to helping others do their best work.

### Location and Benefits

- Flexible work location within the North America region.

- The team operates within the Eastern time zone for collaboration.

- United States base range for this position is $227,495.00 - $324,993 USD, plus equity.

- Benefits include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave.

## Skills

### Required
- Machine Learning
- Python
- Java
- Scala
- Data Science

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/spotify/cb45b193-9f92-4e9b-b936-8a738eed5fdc?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)