Spotify
Staff Machine Learning Engineer, Personalization
New York, NY · Remote · Staff · Full-time · Posted Jul 30, 2026
- Experience
- 8+ years building and deploying machine learning systems in production environments.
About the job
Owns and improves Spotify’s personalization models and systems, building recommendations for the Home feed and emerging AI-powered experiences.
What you'll do
- Build and optimize personalized recommendation systems and large language models.
- Lead experimentation, evaluation, monitoring, and optimization of recommendation quality, reliability, and cost.
- Improve personalization platforms and data pipelines, shape technical direction, and mentor engineers.
What they ask for
- Deep expertise in recommendation systems, ranking, personalization, or large-scale content discovery.
- Strong proficiency in Python and hands-on machine learning experience with PyTorch.
- Experience with LLM training, fine-tuning, evaluation, and optimization, including SFT, distillation, and LoRA.
- Experience with large-scale inference, online experiments, distributed ML workloads, and data pipelines.
Tools
Python, PyTorch, Ray, FSDP, HSDP, Flyte, Airflow, BigQuery
AI focus
Develop recommendation systems for agentic and AI-powered experiences; train, fine-tune, evaluate, and optimize large language models using SFT, distillation, and parameter-efficient approaches.
Model-written summary · the original posting is authoritative