Senior Staff Machine Learning Engineer – Agentic Systems
Spotify
full-time
Posted on:
Location Type: Remote
Location: New York • United States
Visit company websiteExplore more
Salary
💰 $264,641 - $378,058 per year
Job Level
About the role
- 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
- 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
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI systemslarge language modelsagent orchestrationevaluation systemsdata pipelinessystem designinfrastructureperformance optimizationexperimentationobservability
Soft Skills
communicationproblem-solvingcollaborationownershipproactive managementadaptabilitystructuring ambiguityiterationmotivationclear communication