Senior Applied Scientist / Engineer, Training & Inference
Tasks
- Collaborate with research and infrastructure teams
- Design and optimize model serving
- Harden validate and operationalize model checkpoints
- Implement distributed training execution
- Optimize inference latency throughput cost
- Own training to deployment pipeline
- Profile and address training and inference inefficiencies
Perks/Benefits
- N/A
Skills/Tech-stack
Cost Optimization | Distributed Training | Execution orchestration | FSDP | GPU efficiency | Inference Optimization | Latency optimization | Model Serving | Performance Profiling | Pipeline parallelism | PyTorch | Python | Scheduling | Tensor Parallelism | TensorRT | Throughput Optimization | VLLM
Education
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