Software Engineer, Monetization ML Infrastructure
Tasks
- Build real time model inference serving
- Collaborate with machine learning engineering and data science teams
- Create scalable model training platforms
- Deploy models from experimentation to production
- Design and build ML infrastructure
- Design experimentation frameworks for A/B testing
- Develop large-scale data pipelines
- Improve platform performance for latency throughput reliability
- Optimize training efficiency inference latency throughput cost
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Data Pipelines | Data Processing | Distributed Systems | Experimentation | Feature Engineering | Low Latency | Low-Latency Systems | Machine Learning | Model Serving | Model Training | Monitoring | Observability | Python
Education
N/A
Roles
Regions
Countries
States
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