Machine Learning Engineer

• Own and improve machine learning models and systems powering the Home feed, including the Shortcuts experience
• Design, build, and ship personalized recommendations serving millions of Spotify listeners globally
• Build content recommendation systems for emerging agentic and AI-powered user experiences
• Train, fine-tune, evaluate, and optimize large language models using SFT, distillation, and parameter-efficient training approaches
• Partner with Product Managers, Engineers, Data Scientists, and Designers to define and execute experimentation strategies
• Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency
• Improve ML platform capabilities, data pipelines, and production systems supporting personalization at Spotify scale
• Drive technical direction in ambiguous problem spaces and contribute to long-term personalization-system architecture
• Mentor and support other Machine Learning Engineers and strengthen engineering practices across the team

Explore Staff Machine Learning Engineer, Home Surfaces at Spotify. Review requirements and application details.

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