Senior Machine Learning Engineer, Infrastructure
Tasks
- Architect live inference infrastructure
- Automate model deployment
- Debug relevance system bottlenecks
- Detect latency spikes
- Detect production drift
- Implement monitoring and observability
- Ingest and transform features
- Maintain low latency inference systems
- Own feature store lifecycle
- Run reliability testing
- Scale live inference pipelines
- Serve online features
- Validate feature consistency
- Write system documentation
Perks/Benefits
- 401(k) plan matching
- Commuter benefits
- Company holidays
- Flexible time off
- Healthcare
- Learning and development stipends
- Lifestyle stipends
- Parental leave
- Recharge days
Skills/Tech-stack
Data Validation | Distributed Systems | Feature Engineering | Feature Store | Live Inference | Low Latency | Machine Learning | Model Deployment | Monitoring | Observability | Python | Reliability Engineering
Education
N/A
Regions
Countries
States
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