Spotify
Senior Machine Learning Engineer - Artist-First AI Music Lab
New York, NY · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$9,412 more — $193,461 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $193,461 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- We invent entirely new listening experiences that center and celebrate artists and creatives.
- They will give artists new ways to be creative and connect with fans.
- We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.
Responsibilities
- Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and build fast feedback loops that enable rapid and confident iteration.
- Partner with music subject-matter experts to bootstrap training and reference data, including synthetic generation, expert curation, and taxonomy design.
- Build scalable systems that balance experimentation velocity with production rigor, ensuring strong performance, reliability, and latency at Spotify scale.
- Collaborate closely with Data Science teams to connect evaluation frameworks with real-world usage signals and continuously improve model quality.
- Work cross-functionally with engineering, product, design, and music industry partners to shape entirely new listening experiences for artists and fans.
- We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.
- AI tools we develop will not replace human artistry.
Requirements
- You have hands-on experience working with large language models, prompt engineering, evaluation systems, and shipping LLM-driven features in production.
- You have worked with cloud platforms such as GCP, AWS, Azure, or similar infrastructure environments.
Skills
- All of our products will put artists and songwriters first, through these four principles:
- Partnerships with record labels, distributors, and music publishers:
- Choice in participation:
Compensation
- Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for the
Benefits
- Design, build, evaluate, and improve machine learning training and inference pipelines that power new AI-driven music experiences and help take them to fully scaled production-ready features.
- Apply machine learning and prompt engineering knowledge across complex ML pipelines to support rich user experiences involving large language models.
- Experienced in applying machine learning in production environments.
- You are comfortable explaining machine learning concepts, assumptions, and trade-offs to both technical and non-technical audiences.
Company info
- We are seeking a Senior Machine Learning Engineer to join our Artist-First AI Music lab.
- Where You'll Be - We offer you the flexibility to work where you work best!
This listing is sourced directly from Spotify's careers page and normalized into a canonical job model.