Machine Learning Engineer 5 - Ads Platform Engineering
Tasks
- Build machine learning models for real time ad systems
- Deploy machine learning inference infrastructure
- Design real time ad decisioning models
- Ensure privacy compliant audience targeting
- Forecast ad inventory with ad server simulations
- Implement identity resolution for audience targeting
- Integrate ad formats across client platforms
- Optimize goal based delivery with cost models
- Optimize yield scoring and bid ranking models
- Simulate inventory scenarios for pricing and allocation
Perks/Benefits
- 401k employer match
- Disability programs
- Flexible spending account
- Flexible time off
- Health plans
- Health savings account
- Mental health support
- Paid leave
- Stock Option Program
Skills/Tech-stack
Audience targeting | Bid Ranking | Big Data | C++ | Cost Per Click | Cost Per Video | Cost Per View | Data Engineering | Deep learning | Dynamic Allocation | Identity resolution | Indexing | Inference | Java | Low Latency | Lucene | Machine Learning | Memory Management | Model Deployment | Multi-threading | Predictive Modeling | Privacy Compliance | Python | Real Time | Real-time Decisioning | Scala | Simulation | Spark | Yield Optimization
Education
N/A
Regions
Countries
States
Cities
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