Senior Member of Technical Staff: ML Systems and Infrastructure
Tasks
- Architect ML platform infrastructure
- Automate model validation and deployment
- Build distributed training systems
- Build scalable Kubernetes based delivery
- Collaborate with AI research and data science teams
- Create developer experience for ML teams
- Develop CI CD and continuous training pipelines
- Develop inference performance acceleration
- Implement low latency high availability model inference
- Implement observability, monitoring, and alerting
- Manage throughput latency and token streaming
- Optimize GPU utilization and scalability
- Optimize LLM inference stacks
Perks/Benefits
- N/A
Skills/Tech-stack
Argo Workflows | ArgoCD | CI/CD | CUDA | GitHub Actions | Go | Grafana | Helm | Inference Server | JAX | Knowledge Distillation | Kubernetes | ML Infrastructure | MLOps | OpenTelemetry | Prometheus | PyTorch | Python | Quantization | Ray Serve | SGLang | Speculative decoding | TensorFlow | TensorRT-LLM | Triton | Triton Inference | Triton Inference Server | VLLM
Education
N/A
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