Staff Machine Learning Engineer, Home Surfaces
Media & entertainment · 9 roles open in software and data
- Location: Remote (US) · New York, NY
- Pay: Pay not stated
- Experience: 8+ yrs
- Posted: Posted
About the role
The team builds and improves machine learning systems for Spotify's Home feed, including personalized recommendations and AI-powered experiences. The engineer designs, builds, and optimizes these systems, partnering with cross-functional teams to drive experimentation and improve personalization at scale.
Our summary of the posting; the original is on the Spotify careers page.
What the posting requires
- Required
- Python
- Machine learning systems
- Large language models
- Inference systems
- A/B testing
- Distributed machine learning
- Data pipelines
- PyTorch
- LLM training
- Preferred
- ML platform
- System architecture
- Model evaluation
- Optimization
- Production systems
- Parameter-efficient training
These tags are our reading of the posting. They can miss something; the original posting is the reference.
Do you qualify?
Each requirement checked against your resume, in about a minute. No account. Your resume is deleted when the verdict appears.
