Related skills
bigquery java python scala langchainπ Description
- Design and ship agentic systems for personalized listening at scale
- Build pipelines to extract and structure cultural signals using LLMs
- Collaborate with Personalization teams to integrate data
- Own end-to-end components from data pipelines to production serving
- Create evaluation tooling and run experiments on culture signals
- Define squad tech direction for 0-to-1 experiences
π― Requirements
- 5+ years shipping ML models end-to-end
- Strong Python; Java/Scala a plus; GCP Dataflow/BigQuery
- Hands-on with LLMs and agent orchestration (LangChain, LlamaIndex, Pydantic)
- Built production AI/ML systems in NLP, MIR, knowledge graphs
- Comfortable with 0-to-1 building in ambiguous spaces
- Collaborative, cross-functional work style; focus on quality
π Benefits
- Health insurance
- Six months paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- Paid sick leave
- Equity
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