Staff Machine Learning Engineer Recommendations

Build Spotify’s personalized recommendations remotely with Python and PyTorch expertise. Shape Home feed experiences serving millions of listeners globally.

As a Staff Machine Learning Engineer, you will own personalization systems across Spotify Home Surfaces. The work combines recommendation systems, ranking models, large language models, experimentation, and production-scale machine learning infrastructure. You will take models from research into production while guiding technical direction in ambiguous problem spaces.

Key Responsibilities:

• Own machine learning models powering Spotify’s Home feed
• Design personalized recommendations for millions of listeners
• Build content systems for agentic and AI-powered experiences
• Drive experimentation, monitoring, evaluation, and optimization
• Improve platforms, pipelines, and production personalization systems

Requirements:

• Eight or more years building production machine learning systems
• Deep expertise in recommendations, ranking, personalization, or discovery
• Strong Python proficiency and hands-on PyTorch experience
• Experience training, fine-tuning, evaluating, and optimizing large language models
• Understanding of large-scale inference latency, reliability, and cost

Apply recommendation systems, Python, PyTorch, and machine learning leadership to Spotify’s globally scaled Home experiences remotely.