Senior Machine Learning Infrastructure Engineer
Tasks
- Build real time ML model serving pipelines
- Collaborate on distributed system reliability improvements
- Deploy and manage ML models in production
- Design ML model serving infrastructure
- Design feature serving and model versioning architecture
- Improve observability for ML serving
- Maintain low latency high QPS inference systems
- Optimize inference performance and cost efficiency
- Partner with ML engineers to productionize models
Perks/Benefits
- Commute subsidy
- Comprehensive health insurance
- Employee assistance program
- Employee resource groups
- Employee stock ownership
- Generous vacation and personal days
- Life and disability insurance
- Mental health and wellbeing programs
- Parental leave
- Relocation not available
- Remote-first environment
- Retirement pension plan
- Training and development programs
- Volunteering and donation matching
Skills/Tech-stack
API Design | Distributed Systems | Feature Engineering | Golang | Grafana | Inference Optimization | Kubernetes | Model Serving | OpenTelemetry | Prometheus | Python | Ray Serve | Terraform | Torchserve | Triton
Education
N/A
Regions
Countries
States
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