Senior Staff Machine Learning Engineer – Agentic Systems

🕒 April 17

🗽 New York – Remote

🗽 New York – Remote

💵 $264.6k - $378.1k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Spotify

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

📋 Description

• 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