Senior Member of Technical Staff: ML Systems and Infrastructure
Tasks
- Architect AI infrastructure platform
- Automate model validation deployment and lifecycle management
- Build distributed training pipelines
- Build observability for resilient systems
- Create developer experience for model fine tuning and deployment
- Develop CI CD and continuous training pipelines
- Implement low latency high availability model inference
- Improve throughput latency and token streaming
- Optimize GPU resource utilization
- Optimize LLM inference serving stacks
- Partner with AI Research and Data Science teams
Perks/Benefits
- N/A
Skills/Tech-stack
AI Safety | Argo Workflows | ArgoCD | CI/CD | CUDA | GPU Resource Utilization | GitHub Actions | Go | Grafana | Helm | Inference Server | JAX | Knowledge Distillation | Kubernetes | ML Infrastructure | MLOps | Model Evaluation | Monitoring | OpenTelemetry | Prometheus | PyTorch | Python | Quantization | Ray Serve | Resource utilization | SGLang | Speculative decoding | TensorFlow | TensorRT-LLM | Triton | Triton Inference | Triton Inference Server | VLLM
Education
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