We're looking for a Machine Learning Engineer to join a team focused on shaping the future of audio discovery. By combining large language models with curated content, we create contextual stories that deepen listener engagement. You'll play a key role in developing systems that help users find what to play next in ways that feel intuitive and meaningful.
What You'll Do
- Design, test, and deploy LLM-driven storytelling features used by hundreds of millions of listeners
- Work closely with researchers, designers, data scientists, and product teams to build features that connect creators and audiences
- Develop scalable, end-to-end machine learning pipelines and bring prototypes into production
- Champion robust practices in model evaluation, testing, and system design across engineering teams
- Collaborate within a community of ML practitioners to advance the state of personalized audio experiences
What We're Looking For
- Proven experience solving complex, real-world problems with machine learning, especially in natural language processing and generative AI
- Strong track record of building and deploying production-grade ML systems at scale
- Familiarity with large-scale data processing tools such as Apache Beam or Spark and cloud platforms like GCP or AWS
- Experience improving LLM outputs using feedback-driven techniques like DPO or reinforcement fine-tuning is a plus
- Ability to design modular, maintainable architectures in collaboration with cross-functional teams
Benefits
Enjoy comprehensive health coverage, a 401(k) plan with company contributions, and generous time-off policies including six months of paid parental leave. We offer a monthly meal allowance, 23 paid vacation days, 13 flexible holidays, and paid sick leave to support your well-being.
Work Environment
This role is based in North America, with flexibility to work from any location within the region where Spotify has a presence. The team aligns on Eastern Standard Time for collaboration, supporting a hybrid model that values both autonomy and connection.
Our Culture
We believe diverse perspectives fuel innovation. As an equal opportunity employer, we welcome people of all backgrounds, identities, and experiences. Our workplace reflects the global community we serve, and we're committed to accessibility and inclusion at every level. If you're passionate about music, audio, and using technology to amplify underrepresented voices, you'll find a home here.
