Senior Machine Learning Engineer, Personalization

Spotify

Senior Machine Learning Engineer for Personalization team at Spotify. Designing AI systems for enhancing user experience in music and podcasts.

Posted 5/7/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $184,050 - $262,928 per yearWebsite

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

5+ years of experience building and shipping machine learning systems in production environments
experienced with large language models and have worked on real-world applications beyond experimentation
deep understanding of challenges in conversational or agentic systems, such as context handling and multi-step reasoning
comfortable debugging complex interactions between models, tools, and system constraints like latency
care about building reliable, scalable systems that deliver high-quality user experiences
enjoy working cross-functionally and contributing to a collaborative, inclusive team environment

Benefits

Comp & perks

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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learninglarge language modelscontext managementmulti-step reasoningdebuggingevaluation frameworksagentic workflowsproduction environmentsuser intent interpretationtool orchestration

Soft Skills

collaborationcross-functional teamworkinclusive team environmentcommunicationproblem-solvingadaptabilityfeedback incorporationuser experience focusexperimentation balancereliability emphasis