Senior Machine Learning Engineer, Personalization, Magenta

Spotify Spotify · Consumer · New York, NY · Personalization

Senior Machine Learning Engineer focused on building production-grade machine learning systems for conversational and agentic AI experiences in personalization at Spotify. The role involves designing and shipping systems that interpret user intent, manage context, orchestrate tools, and utilize evaluation frameworks like LLM-as-judge.

What you'd actually do

  1. Design and ship production-grade machine learning systems powering conversational and agentic AI experiences
  2. Build systems that interpret user intent, manage context across multi-turn interactions, and handle ambiguity reliably at scale
  3. Develop and evolve agentic workflows including memory, context management, and multi-step tool orchestration
  4. Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and guide iteration
  5. Partner closely with product, engineering, and design to deliver seamless, user-facing experiences

Skills

Required

  • Machine Learning Systems Design
  • Conversational AI
  • Agentic AI
  • User Intent Interpretation
  • Context Management
  • Tool Orchestration
  • Evaluation Frameworks
  • LLM-as-judge
  • Production Rigor
  • Performance Optimization
  • Latency Optimization
  • Reliability Engineering

Nice to have

  • Personalization
  • Discover Weekly
  • Blend

What the JD emphasized

  • production-grade
  • at scale
  • agentic workflows
  • evaluation frameworks
  • LLM-as-judge
  • performance, latency, and reliability

Other signals

  • Conversational AI
  • Agentic AI
  • Personalization
  • LLM-as-judge