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Jobs/Machine Learning Engineer Role/Spotify - Senior Machine Learning Engineer, Personalization, Magenta
Spotify

Spotify - Senior Machine Learning Engineer, Personalization, Magenta

Remote - New York, NY$184k - $263k+ Equity2w ago
RemoteSeniorNAHealth InsuranceArtificial IntelligenceInsuranceMachine Learning Engineer

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Requirements

• You have 5+ years of experience building and shipping machine learning systems in production environments • You are experienced with large language models and have worked on real-world applications beyond experimentation; shipped and maintained large scale systems with LLMs • You have a deep understanding of challenges in conversational or agentic systems, such as context handling and multi-step reasoning • You know how to evaluate ML systems rigorously and have experience designing metrics or evaluation pipelines • You are comfortable debugging complex interactions between models, tools, and system constraints like latency • You care about building reliable, scalable systems that deliver high-quality user experiences • You enjoy working cross-functionally and contributing to a collaborative, inclusive team environment • Where You'll Be • This role is based in New York • 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 • The United States base range for this position is $184,050- $262,928 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

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 • Balance experimentation with production rigor, ensuring performance, latency, and reliability at Spotify scale • Continuously improve agent behavior through tight feedback loops between evaluation and real-world usage

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