Senior Machine Learning Engineer, Zeitgeist, Personalization
Tasks
- Build evaluation tooling and run experiments
- Define technical direction and make architecture decisions
- Design build ship agentic systems
- Develop maintain cultural signal pipelines
- Integrate cultural data into agentic listening experiences
- Own components end to end for data pipelines model training serving and monitoring
Perks/Benefits
- 401k retirement plan
- Flexible holidays
- Health insurance
- Meal allowance
- Paid parental leave
- Paid sick leave
- Paid time off
- Work from home flexibility
Skills/Tech-stack
Agent Orchestration | BigQuery | Cloud platform | Dataflow | Experimentation | Google Cloud | Google Cloud Platform | Java | Knowledge graphs | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Model Training | NLP | Production Machine Learning | Pydantic | Python | RAG | Retrieval-Augmented Generation | Scala | Tool-Calling | Vector Databases
Education
N/A
Regions
Countries
States
Cities
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