19 hours ago
Responsibilities
- Own and improve machine learning models and systems powering the Home feed and Shortcuts experience.
- Design, build, and deploy personalized recommendation systems serving millions of Spotify listeners globally.
- Build content recommendation systems for agentic and AI-powered user experiences.
- Train, fine-tune, evaluate, and optimize large language models using SFT, distillation, and parameter-efficient training approaches.
- Partner with product managers, engineers, data scientists, and designers to define and execute experimentation strategies.
- Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency.
- Improve ML platform capabilities, data pipelines, orchestration workflows, and production systems supporting personalization at scale.
- Drive technical direction and contribute to the long-term architecture of personalization systems.
- Mentor and support other machine learning engineers.
Requirements
- 8+ years of experience building and deploying machine learning systems in production environments.
- Deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms.
- Strong proficiency in Python and hands-on experience building machine learning systems with PyTorch.
- Experience with large language model training, fine-tuning, evaluation, and optimization, including SFT, distillation, and LoRA.
- Experience with large-scale inference systems and latency, reliability, and cost optimization.
- Ability to design, execute, and interpret online experiments and A/B tests.
- Experience operating distributed machine learning workloads using Ray, FSDP, HSDP, or similar frameworks.
- Experience building and maintaining data pipelines and orchestration workflows using Flyte, Airflow, BigQuery, and cloud-based storage platforms.
- Effective communication across technical and non-technical audiences and ability to influence technical decisions beyond the immediate team.
Benefits
- Flexible work location within the North Americas region where Spotify has a work location.
- Collaboration aligned to the Eastern Standard time zone.
- Reasonable accommodation support is available throughout the recruitment process.
Categories
About Spotify
Spotify builds a global audio streaming platform for listeners and creators, offering on-demand music and podcasts across mobile, desktop, and connected devices. The business runs a freemium model: an ad-supported free tier and a paid Premium subscription, plus creator tools like Spotify for Artists and podcast publishing. Founded in 2006 and headquartered in Stockholm, it is a publicly traded company on the NYSE (SPOT) serving consumers and rights holders worldwide.