Staff Machine Learning Engineer, Home Surfaces
Core
Build and optimize large-scale recommendation systems and LLM-powered personalization features for Spotify's Home feed and Shortcuts experience.
Role type
Staff Machine Learning Engineer (Recommendation Systems & LLMs)
Builds
Personalized music and podcast discovery experiences for millions of global listeners
Domain
Music streaming, Recommendation Systems, Large Language Models
Deliverable
production ML models
Required skills
Recommendation systems, Ranking models, LLM training and fine-tuning (SFT, distillation, LoRA), Python, PyTorch, Distributed ML workloads (Ray, FSDP, HSDP), Data pipelines (Flyte, Airflow, BigQuery), A/B testing design, Technical leadership
Preferred skills
None stated
Technologies
PyTorch, Ray, FSDP, HSDP, Flyte, Airflow, BigQuery
Responsibilities
Own and improve ML models powering the Home feed and Shortcuts; Design and ship personalized recommendations; Train and optimize LLMs; Drive technical direction in ambiguous problem spaces; Mentor other ML engineers
Seniority
Staff, hands-on IC with strategic influence