Machine Learning Engineer, Monetization & Decision Systems
Denver, CO; New York, NY; San Francisco, CA; Seattle, WA
USD 174K-330K Senior-level Full Time
Tasks
- Build and maintain training evaluation deployment monitoring pipelines
- Build decisioning and policy models
- Define integration boundaries and API contracts
- Design scalable resilient observable model serving paths
- Determine paywall and discount presentation
- Embed model driven decision logic into backend and product flows
- Evaluate offline metrics and online A B results
- Improve real time and near real time inference latency throughput reliability
- Lead predictive and prescriptive model development
- Select personalized study modes or interventions
- Trigger retention and churn prevention actions
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | API Design | B testing | Causal Inference | Contextual Bandits | Experimentation | Feature Engineering | LightGBM | Machine Learning | Model Deployment | Model Serving | Model Training | Monitoring | Near Real Time Inference | Near-real-time | PyTorch | Python | Real Time | Real-time Inference | Reinforcement Learning | Scikit-learn | Sequential Decisioning | Survival analysis | Uplift Modeling | XGBoost
Education
N/A
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