Senior Machine Learning Engineer, Personalization, Magenta

3 months, 4 weeks ago
Full-time
Senior
Software Development
Spotify

Spotify

Spotify is a leading global audio streaming service empowering artists and inspiring fans worldwide with over 70 million tracks. It has 365 million users, including 165 million subscribers, across 178 markets.

Media
Founded 2006

Description

  • Design and ship production-grade machine learning systems for conversational and agentic AI experiences.
  • Build systems that interpret user intent, manage multi-turn context, and handle ambiguity at scale.
  • Develop agentic workflows including memory, context management, and multi-step tool orchestration.
  • Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and guide iteration.
  • Partner with product, engineering, and design teams to deliver user-facing experiences.
  • Balance experimentation with production rigor, with attention to performance, latency, and reliability at Spotify scale.
  • Continuously improve agent behavior through feedback loops between evaluation and real-world usage.

Requirements

  • 5+ years of experience building and shipping machine learning systems in production environments.
  • Experience with large language models and real-world applications beyond experimentation.
  • Experience shipping and maintaining large-scale systems with LLMs.
  • Deep understanding of conversational or agentic system challenges such as context handling and multi-step reasoning.
  • Experience evaluating ML systems rigorously and designing metrics or evaluation pipelines.
  • Comfort debugging complex interactions between models, tools, and system constraints such as latency.
  • Ability to work cross-functionally and contribute to a collaborative, inclusive team environment.
  • Role is based in New York, with some in-person meetings and flexibility to work from home.

Benefits

  • Base salary range of $184,050 to $262,928 plus equity.
  • Health insurance.
  • Six months of paid parental leave.
  • 401(k) retirement plan.
  • Monthly meal allowance.
  • 23 paid days off.
  • 13 paid flexible holidays.
  • Paid sick leave.

Interested in this position?

Apply directly on the company website

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