Senior Machine Learning Engineer – Content Intelligence

Spotify

Senior Machine Learning Engineer leading machine learning initiatives at Spotify. Designing and deploying systems that enhance content intelligence and user experience.

Posted 6/11/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $184,049 - $262,928 per yearWebsite

About the role

Key responsibilities & impact

Lead end-to-end machine learning initiatives from ideation and prototyping through experimentation, deployment, and large-scale productionization.
Design, develop, and deploy machine learning systems that operate across hundreds of millions of content signals using both real-time and batch processing architectures.
Advance Spotify’s capabilities in natural language understanding, multimodal AI, and content intelligence. Build and evaluate LLM-powered solutions using modern prompting techniques, retrieval systems, and advanced model orchestration approaches.
Define rigorous evaluation methodologies including golden datasets, precision and recall frameworks, offline benchmarking, and online experimentation.
Partner closely with Product Managers, Engineering Managers, Staff Engineers, and Data Scientists to influence technical strategy and roadmap decisions.
Mentor engineers across the organization and help elevate machine learning engineering standards and best practices.
Contribute to the adoption of AI-assisted development workflows and tooling that improve team productivity and engineering effectiveness.

Requirements

What you’ll need

solid experience developing and deploying machine learning systems in production environments
successfully delivered large-scale machine learning architectures operating on substantial datasets and high-throughput production systems
deep experience with machine learning, deep learning, and modern AI technologies
hands-on experience working with large language models
experience building evaluation frameworks and can quantify model performance through robust experimentation and measurement techniques
navigate ambiguity and make thoughtful technical trade-offs that balance product impact, scalability, and engineering quality
influencing technical direction across cross-functional teams
experience with NLP, prompt engineering, retrieval-augmented generation (RAG), vector databases, or multimodal machine learning systems
curious about emerging AI technologies

Benefits

Comp & perks

health insurance
six-month paid parental leave
401(k) retirement plan
monthly meal allowance
23 paid days off
paid flexible holidays
paid sick leave

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdeep learningnatural language processinglarge language modelsevaluation frameworksprompt engineeringretrieval-augmented generationvector databasesmodel performance measurementbatch processing architectures

Soft Skills

mentoringinfluencing technical directionnavigating ambiguitymaking technical trade-offscollaborationcommunicationstrategic thinkingproblem-solvingteam productivity improvementengineering effectiveness