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About the Role
The Artist-First AI Music Lab designs and builds state-of-the-art generative AI products for music, aiming to create breakthrough experiences for fans and artists. We are seeking a Machine Learning Engineer to invent new listening experiences that center and celebrate artists and creatives.
Responsibilities
- Design, build, evaluate, and improve machine learning training and inference pipelines for AI-driven music experiences.
- Apply machine learning and prompt engineering knowledge across complex ML pipelines to support rich user experiences involving large language models.
- Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and build fast feedback loops.
- Partner with music subject-matter experts to bootstrap training and reference data.
- Build scalable systems that balance experimentation velocity with production rigor.
- Collaborate closely with Data Science teams to connect evaluation frameworks with real-world usage signals.
- Contribute to technical direction and engineering best practices across model deployment, observability, experimentation, and production infrastructure.
- Work cross-functionally with engineering, product, design, and music industry partners to shape new listening experiences.
Requirements
- Experienced 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.
- Experienced in building large-scale data pipelines for sourcing, preparing, and evaluating training data.
- Worked with cloud platforms such as GCP, AWS, Azure, or similar infrastructure environments.
- Comfortable explaining machine learning concepts, assumptions, and trade-offs to both technical and non-technical audiences.
- Experience building user-facing products and strong judgment around conversational AI and generative user experiences.
- Deep care for experimentation, iteration, and using data to guide product and engineering decisions.
- Thrive in collaborative, cross-functional teams that move quickly, experiment often, and continuously learn.
Skills
- Machine Learning
- Prompt Engineering
- Large Language Models (LLMs)
- ML Pipelines
- Evaluation Frameworks
- LLM-as-judge
- Data Pipelines
- Python
- Java
- Scala
- GCP
- AWS
- Azure
- Conversational AI
- Generative User Experiences
Location
- Eastern United States region
Work Type
- Remote
- Full-time
Experience Level
- Experienced
Salary/Compensations
- $138,250 - $197,500
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
- Equity
About the Company
- Spotify's Music Mission team owns Spotify’s end to end proposition for music creators and the experiences they create for fans.
- The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.
- All of our products put artists and songwriters first through four guiding principles: Partnerships with record labels, distributors, and music publishers; Choice in participation; Fair compensation and new revenue; Artist-fan connection.