Senior Machine Learning Engineer – Artist-First AI Music Lab

Spotify

Senior ML Engineer building production ML pipelines and LLM evaluation systems for Spotify’s generative AI music products. Creating artist-first listening experiences for fans and musicians.

Posted 9/4/2026full-timeRemote • Massachusetts, New York • 🇺🇸 United StatesSenior💰 $184,049 - $262,928 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining machine learning systems, particularly with large language models and prompt engineering, while effectively collaborating across cross-functional teams to enhance AI-driven music experiences.

Highest-signal resume keywords

Machine Learning ApplicationLarge Language ModelsPython ProgrammingCloud PlatformsCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPrompt EngineeringEvaluation FrameworksData Pipeline DevelopmentProduction ML SystemsUser-Facing Product DevelopmentExperimentation and IterationModel DeploymentObservabilityPerformance Optimization

Soft Skills

CommunicationJudgmentCollaboration

Tools & Technologies

GCPAWSAzure

Industry Keywords

AI-Driven Music ExperiencesSynthetic Data GenerationTaxonomy DesignReal-World Usage SignalsConversational AI

Tech Stack

Tools & technologies

AWSAzureBootstrapCloudGoogle Cloud PlatformJavaPythonScala

About the role

Key responsibilities & impact

Design, build, evaluate, and improve machine learning training and inference pipelines for AI-driven music experiences
Help take ML pipelines to fully scaled, production-ready features
Apply machine learning and prompt engineering across complex ML pipelines involving large language models
Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and enable rapid iteration
Partner with music subject-matter experts to bootstrap training and reference data through synthetic generation, expert curation, and taxonomy design
Build scalable systems balancing experimentation velocity with production rigor, performance, reliability, and latency at Spotify scale
Collaborate with Data Science teams to connect evaluation frameworks with real-world usage signals and improve model quality
Contribute to technical direction and engineering best practices across model deployment, observability, experimentation, and production infrastructure
Work cross-functionally with engineering, product, design, and music industry partners to shape new listening experiences for artists and fans

Requirements

What you’ll need

Experienced in applying machine learning in production environments
Hands-on experience with large language models, prompt engineering, evaluation systems, and shipping LLM-driven features in production
Experience building and maintaining production ML systems using Python, Java, Scala, or similar languages
Experience building large-scale data pipelines for sourcing, preparing, and evaluating training data
Experience with cloud platforms such as GCP, AWS, Azure, or similar infrastructure environments
Ability to explain machine learning concepts, assumptions, and trade-offs to technical and non-technical audiences
Experience building user-facing products
Strong judgment around conversational AI and generative user experiences
Comfort with experimentation, iteration, and data-driven product and engineering decisions
Ability to collaborate in cross-functional teams
Must have a work location within the Eastern United States region
Must work within the EST time zone for collaboration

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
equity