2 months ago
Responsibilities
- Own and improve the machine learning models and systems powering Spotify’s Home feed and Shortcuts experience.
- Design, build, and ship personalized recommendations for millions of global listeners.
- 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 on 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, and production systems supporting personalization at Spotify scale.
- Drive technical direction in ambiguous problem spaces and contribute to the architecture of personalization systems.
- Mentor and support other machine learning engineers.
Requirements
- 8+ years of experience building and deploying machine learning systems in production.
- Deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms.
- Strong proficiency in Python and hands-on experience with PyTorch.
- Experience training, fine-tuning, evaluating, and optimizing large language models using 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 with Ray, FSDP, HSDP, or similar frameworks.
- Experience building and maintaining data pipelines and orchestration workflows with 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.
- Team collaboration operates within the Eastern Standard time zone.
- Equal opportunity employer with reasonable accommodation support throughout the recruitment process.
Categories
Data EngineeringML Engineering
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.