Senior AI Engineer - Monetization Platform
Tasks
- Build ML training pipelines with experiment tracking
- Build agentic AI workflows for advertising intelligence
- Build sales uplift and ROAS measurement systems
- Create feature engineering pipelines
- Deploy low latency inference services
- Design causal measurement models for brand uplift
- Develop contextual bandit and reinforcement learning agents for yield optimization
- Develop multi-touch attribution models
- Establish ML observability monitoring and drift detection
- Implement knowledge graph and GraphRAG reasoning systems
- Lead technical design reviews and mentor ML engineering best practices
- Train behavioral embedding models for audience intelligence
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | BigQuery | CI/CD | Canary Deployment | Causal Inference | Dataflow | Deep learning | Drift Detection | Embeddings | Experimental Design | Feature Engineering | Feature Store | Graph Neural Networks | GraphRAG | Knowledge graphs | Langchain | Langgraph | Machine Learning | Markov Chains | Model Drift | Model Drift Detection | Model Monitoring | Neural Networks | PyTorch | Pydantic | Python | SQL | Shapley Values | Statistical modeling | Transformers | Uplift Modeling | Vertex AI
Education
Roles
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