Spotify
Staff Machine Learning Engineer, Home Surfaces
New York, NY · Remote · Staff · Full-time · Posted Sep 10, 2026
- Experience
- 8+ years building and deploying machine learning systems in production environments.
About the job
Owns and advances the machine learning systems behind Spotify’s Home feed and Shortcuts, building personalized recommendations and AI-powered content discovery experiences.
What you'll do
- Build, train, evaluate, and optimize recommendation systems and large language models for personalized experiences.
- Lead experimentation, monitoring, and continuous improvements to recommendation quality, reliability, and cost efficiency.
- Improve production ML platforms and data pipelines, guide technical direction, and mentor machine learning engineers.
What they ask for
- 8+ years of experience building and deploying production machine learning systems.
- Deep expertise in recommendation systems, ranking, personalization, or large-scale content discovery.
- Strong proficiency in Python and hands-on experience with PyTorch; experience training, fine-tuning, evaluating, and optimizing LLMs, including SFT, distillation, and LoRA.
- Experience with large-scale inference, online experiments and A/B testing, distributed ML workloads, and data pipelines.
Tools
Python, PyTorch, SFT, LoRA, Ray, FSDP, HSDP, Flyte
AI focus
Develops personalized recommendations and agentic, AI-powered content experiences; trains, fine-tunes, evaluates, and optimizes large language models.
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