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Senior Machine Learning Engineer, Personalization
SpotifySenior Machine Learning Engineer at Spotify creating agentic listening experiences for millions. Developing AI-driven features and cultural signal integrations for personalized recommendations.
Tech Stack
Tools & technologiesBigQueryGoogle Cloud PlatformJavaPythonScala
About the role
Key responsibilities & impact- Design, build, and ship agentic systems that ground personalized listening experiences in cultural context and world knowledge, used by hundreds of millions of Spotify users
- Develop and maintain pipelines for extracting, structuring, and serving cultural signals at scale, leveraging LLMs and agentic workflows
- Partner closely with teams across Personalization to integrate foundational cultural data and tech into new agentic listening experiences
- Own components end-to-end — from data pipelines and model training to production serving and monitoring
- Design and build evaluation tooling (including LLM-as-judge frameworks and dataset analysis), and run experiments to evaluate the impact of cultural context signals on user experience and engagement
- Help define the technical direction of the squad, contributing to architecture decisions, and shaping what building "0-to-1" experiences looks like in practice
Requirements
What you’ll need- You have 5+ years of experience building and shipping machine learning models end-to-end
- You have a strong foundation in Python (Java and Scala are a plus) and experienced with GCP tools (e.g. Dataflow, BigQuery)
- You have hands-on experience with LLMs and agent orchestration frameworks (e.g. LangChain, LlamaIndex, Pydantic), building tool-calling agents, RAG, and vector databases
- You have built and shipped production-scale, data-driven AI/ML systems, ideally in content understanding, knowledge graphs, NLP, MIR, or related domains
- You are excited but not overhyped by the potential of Generative AI
- You're comfortable operating as a 0-to-1 builder — you thrive in ambiguous, exploratory spaces and can move from idea to experimentation to production with confidence
- You care about building inclusive, user-centric products, and you think about AI and ML in the context of products and user impact, not just tech
- You have worked effectively in collaborative, cross-functional environments
- You care deeply about code quality, reliability, and scalability
Benefits
Comp & perks- Flexible working hours
- Work from home options
ATS Keywords
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Hard Skills & Tools
machine learningPythonJavaScalaGCPDataflowBigQueryLLMsagent orchestration frameworksNLP
Soft Skills
collaborationuser-centric designcode qualityreliabilityscalabilityadaptabilityproblem-solvingcommunicationcreativitycritical thinking