Senior Staff Machine Learning Engineer – Agentic Systems

Spotify

Senior Staff Machine Learning Engineer focusing on generative recommenders and personalization for Spotify’s audio streaming platform. Collaborating with cross-functional teams to enhance user experience through advanced AI systems.

Posted 4/17/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $264,641 - $378,058 per yearWebsite

About the role

Key responsibilities & impact

Lead the technical architecture of Spotify’s Agent Engine, the shared runtime that powers agent-based experiences across the platform
Guide the transition of existing agent-powered features into a unified system, balancing speed, reliability, and real-world product constraints
Design how internal systems can be exposed as agent capabilities, enabling seamless integration across recommendations, search, catalog, and more
Build and improve evaluation systems that help teams measure quality, reliability, and user impact with confidence
Partner with research and machine learning teams to define what belongs in system design versus model capabilities
Explore and prototype new approaches to agent-based systems, and bring successful ideas into production at scale
Support best practices in building production-ready AI systems, including experimentation, observability, and performance optimization
Contribute to technical standards that help teams move faster while maintaining security and reliability
Stay connected to advances in the AI and machine learning community, and apply relevant ideas to Spotify’s products

Requirements

What you’ll need

You have experience building and scaling production AI systems, including systems powered by large language models
You are comfortable working across system design, infrastructure, and machine learning concepts, and enjoy connecting these areas
You have experience with areas such as agent orchestration, LLM infrastructure, evaluation systems, or data pipelines for machine learning
You have worked on platform or consolidation efforts that bring multiple systems or teams together
You are able to make progress in ambiguous problem spaces and bring structure to open-ended challenges
You communicate clearly and work well with engineering, product, and research partners across different levels of the organization
You stay informed on developments in AI and are motivated to apply new ideas in practical ways
You take a pragmatic approach to building, using prototypes and iteration to move ideas forward
You take ownership of outcomes and proactively manage risks, trade-offs, and expectations

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

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI systemslarge language modelsagent orchestrationevaluation systemsdata pipelinessystem designinfrastructureperformance optimizationexperimentationobservability

Soft Skills

communicationproblem-solvingcollaborationownershipproactive managementadaptabilitystructuring ambiguityiterationmotivationclear communication