Senior Machine Learning Infrastructure Engineer
Tasks
- Build real time ML serving pipelines
- Collaborate on feature serving and model versioning
- Design ML model serving infrastructure
- Improve cost efficiency for ML serving
- Improve observability for ML serving
- Operate model deployments
- Optimize latency, throughput, and reliability
- Support inference optimization
Perks/Benefits
- Commute subsidy
- Employee resource groups
- Employee stock ownership
- Generous vacation
- Life and disability insurance
- Mental health and wellbeing programs
- Parental leave
- Retirement pension plans
- Training and development
- Volunteering and donation matching program
Skills/Tech-stack
API Design | Distributed Systems | Feature Pipelines | Feature Stores | Golang | Grafana | Infrastructure as Code | Kubernetes | Model Serving | NVIDIA Triton | Observability | OpenTelemetry | Prometheus | Python | Ray Serve | Terraform | Torchserve | “as-code”
Education
N/A
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