Senior Machine Learning Engineer, Personalization, Magenta

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{
  "lists": [
    {
      "text": "What You'll Do",
      "content": "\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">Design and ship production-grade machine learning systems powering conversational and agentic AI experiences</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">Build systems that interpret user intent, manage context across multi-turn interactions, and handle ambiguity reliably at scale</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">Develop and evolve agentic workflows including memory, context management, and multi-step tool orchestration</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and guide iteration</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">Partner closely with product, engineering, and design to deliver seamless, user-facing experiences</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">Balance experimentation with production rigor, ensuring performance, latency, and reliability at Spotify scale</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">Continuously improve agent behavior through tight feedback loops between evaluation and real-world usage</span></li>\n"
    },
    {
      "text": "Who You Are ",
      "content": "<div>\n\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">You have 5+ years of experience building and shipping machine learning systems in production environments</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">You are experienced with large language models and have worked on real-world applications beyond experimentation; shipped and maintained large scale systems with LLMs</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">You have a deep understanding of challenges in conversational or agentic systems, such as context handling and multi-step reasoning</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">You know how to evaluate ML systems rigorously and have experience designing metrics or evaluation pipelines</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">You are comfortable debugging complex interactions between models, tools, and system constraints like latency</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">You care about building reliable, scalable systems that deliver high-quality user experiences</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">You enjoy working cross-functionally and contributing to a collaborative, inclusive team environment</span></li>\n\n</div>"
    },
    {
      "text": "Where You'll Be",
      "content": "<div>\n\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">This role is based in New York</span></li>\n<li style=\"line-height: 1.2;\"><span style=\"font-size: 10pt;\">We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home</span></li>\n\n</div>"
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    "team": "Personalization",
    "location": "New York, NY",
    "department": "Engineering",
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