
About the role
Spotify is hiring a Staff Machine Learning Engineer on Surfaces Moments, the Personalization team behind Home Shortcuts and the models that decide what to play next.
You will own the recommendation systems that power the Home feed, take ranking and LLM work from research into production, and keep those models healthy at listener scale. The brief covers training and fine-tuning (SFT, distillation, parameter-efficient methods), A/B tests, and the pipelines that keep latency and cost in check. You will set technical direction in a messy problem space and mentor other ML engineers on the team.
Highlights
- Recsys plus LLM production work on Home and Shortcuts
- Python and PyTorch, with Airflow and BigQuery in the data path
- North America only, EST collaboration
- US base $227-325k plus equity
This recap is dataskew's editorial summary, not the company's copy.