Staff Machine Learning Engineer
Tasks
- Build fraud decisioning system
- Design degraded model fallback paths
- Develop machine learning feature infrastructure
- Implement anomaly detection systems
- Implement replay shadow staged rollouts
- Integrate feedback loops
- Maintain training serving alignment
- Manage model lifecycle from training to retirement
- Operate high availability low latency services
- Own production feature and data pipelines
- Own real time transaction scoring services
- Troubleshoot offline production metric divergence
Perks/Benefits
- Annual training budget
- Birthday leave
- Enhanced parental leave
- Equity package
- Flexible time off
- Home office setup allowance
- Hybrid working
- Lunch Credit
- Pension
- Private healthcare
- Regular remote company offsites
- Remote crypto transactions no fee
- Remote working allowance
- Wellness membership
Skills/Tech-stack
Anomaly Detection | BigQuery | Bigtable | Data Pipelines | Degraded Mode | Degraded Mode Fallback | Feature Engineering | Feedback loops | Fraud Detection | GCP | High Availability | Kubernetes | Low Latency | Machine Learning | Memorystore | Model Monitoring | Model Serving | Model Training | Real Time | Real-time Systems | Shadow Deployment | Staged rollouts | Testing | Time Systems | Typed Programming | Vertex AI
Education
N/A
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