Base Salary
$184k - $263k/yr
Responsibilities
- Design, build, evaluate, and improve machine learning training and inference pipelines for AI-driven music experiences.
- Apply machine learning and prompt engineering to complex pipelines supporting LLM-driven user experiences.
- Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and enable rapid iteration.
- Develop training and reference data through synthetic generation, expert curation, and taxonomy design with music subject-matter experts.
- Build scalable production systems balancing experimentation speed, performance, reliability, and latency.
- Collaborate with Data Science teams to connect evaluation frameworks with real-world usage signals and improve model quality.
- Contribute to model deployment, observability, experimentation, and production infrastructure practices.
- Work with engineering, product, design, and music-industry partners to shape new artist and fan listening experiences.
Requirements
- Production experience applying machine learning.
- Hands-on experience with large language models, prompt engineering, evaluation systems, and shipping LLM-driven features.
- 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.
- Ability to explain machine learning concepts, assumptions, and trade-offs to technical and non-technical audiences.
- Experience building user-facing products and exercising judgment around conversational AI and generative user experiences.
- Strong experimentation, iteration, collaboration, and data-informed decision-making skills.
Benefits
- Health insurance.
- Six months of paid parental leave.
- 401(k) retirement plan.
- Monthly meal allowance.
- 23 paid days off.
- 13 paid flexible holidays.
- Paid sick leave.
- Work location flexibility within the Eastern United States, with collaboration in the EST time zone.
- The position includes equity in addition to base pay.
Tech Stack
Categories
About Spotify
Deliver creativity to the world -- one note, one voice, one idea at a time. At Spotify, we focus relentlessly on building the best and most valuable experience available anywhere, enhancing every moment by connecting the world to the art and the creatives who shape it. Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience. Today, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers across 178 markets. We are the largest driver of revenue to the music business today.