Senior Machine Learning Engineer, Zeitgeist, Personalization
Tasks
- Define technical direction and architecture decisions
- Design build and ship agentic systems
- Design build evaluation tooling and frameworks
- Develop and maintain data pipelines for cultural signals
- Integrate foundational cultural data into agentic experiences
- Own components end to end
- Run experiments to evaluate impact on user experience
- Ship production machine learning models and monitor performance
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | BigQuery | Cloud platform | Data Pipelines | Dataflow | Experimentation | Google Cloud | Google Cloud Platform | Java | Knowledge graphs | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | Machine Learning | Model Training | Monitoring | Natural Language | Natural Language Processing | Production Deployment | Pydantic | Python | Retrieval-Augmented Generation | Scala | Tool-Calling | Vector Database
Education
N/A
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