Senior Machine Learning Engineer, Personalization, Magenta

Spotify
New York
Workplace: HybridFull-timeUSD 184,050 - 262,928 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Collaboration","Problem-solving","Teamwork","Attention to detail"]

Design and ship production-grade machine learning systems powering conversational and agentic AI experiences. Build scalable, latency-aware, user-facing personalization features using large language models, with rigorous evaluation pipelines and cross-functional collaboration to deliver high-quality experiences at Spotify scale.

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FursaFursa
Spotify
Spotify
2 months ago

Senior Machine Learning Engineer, Personalization, Magenta

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Design and ship production-grade machine learning systems powering conversational and agentic AI experiences. Build scalable, latency-aware, user-facing personalization features using large language models, with rigorous evaluation pipelines and cross-functional collaboration to deliver high-quality experiences at Spotify scale.
Location: New York
Workplace: Hybrid
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and ship production-grade machine learning systems powering conversational and agentic AI experiences.
  • •Build systems that interpret user intent, manage context across multi-turn interactions, and handle ambiguity reliably at scale.
  • •Develop and evolve 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 closely with product, engineering, and design to deliver seamless, user-facing experiences.

Pay and Benefits

Salary: USD 184,050 - 262,928 annually

Key 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; shipped and maintained large-scale systems with LLMs.
  • •Deep understanding of challenges in conversational or agentic systems, such as context handling and multi-step reasoning.
  • •Ability to evaluate ML systems rigorously and design metrics or evaluation pipelines.
  • •Comfort debugging complex interactions between models, tools, and system constraints like latency.
Experience:5+ years
Skills:CommunicationCollaborationProblem-solvingTeamworkAttention to detail
Languages:English
Tech Stack:PythonPyTorchTensorFlowLLMLarge language models

Company Brief

Spotify
Provides a music, podcast and audio streaming service offering on-demand access to millions of tracks and podcasts, personalized recommendations, and advertising and subscription-based tiers for listeners and creators worldwide.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Stockholm, Sweden
Founded: 2006
Glassdoor
Glassdoor: 4.1
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