# Senior Machine Learning Engineer

**Company**: Spotify
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $184,049 - $262,928.00
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/spotify/0d82639f-54c4-4e44-984e-4c9de7e8fffe?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a85ec366-0c0

## Description

We are seeking a Senior Machine Learning Engineer to join our Artist-First AI Music lab. Our team designs and builds state-of-the-art generative products for music that create breakthrough experiences for fans and artists.

The role involves designing, building, evaluating, and improving machine learning training and inference pipelines that power new AI-driven music experiences. You will apply machine learning and prompt engineering knowledge across complex ML pipelines to support rich user experiences involving large language models.

Key responsibilities include:

- Designing and building machine learning training and inference pipelines

- Applying machine learning and prompt engineering knowledge across complex ML pipelines

- Creating evaluation frameworks to measure quality and build fast feedback loops

- Partnering with music subject-matter experts to bootstrap training and reference data

- Building scalable systems that balance experimentation velocity with production rigor

- Collaborating with Data Science teams to connect evaluation frameworks with real-world usage signals

- Contributing to technical direction and engineering best practices

- Working cross-functionally with engineering, product, design, and music industry partners

Requirements:

- Experience in applying machine learning in production environments

- Hands-on experience working with large language models, prompt engineering, evaluation systems, and shipping LLM-driven features in production

- Experience building and maintaining production ML systems using Python, Java, Scala, or similar languages

- Experience building large-scale data pipelines for sourcing, preparing, and evaluating training data

- Experience working with cloud platforms such as GCP, AWS, Azure, or similar infrastructure environments

- Comfortable explaining machine learning concepts to technical and non-technical audiences

- Experience building user-facing products and strong judgment around conversational AI and generative user experiences

Location: Eastern United States region

Salary: $184,049 - $262,928.00 plus equity

Benefits: 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
- large language models
- prompt engineering
- Python
- Java
- Scala
- cloud platforms

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/spotify/0d82639f-54c4-4e44-984e-4c9de7e8fffe?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)