Machine Learning Engineer — Inference Optimization
Tasks
- Benchmark model performance across hardware
- Build inference serving infrastructure
- Implement KV Cache optimization
- Implement quantization optimization
- Implement speculative decoding
- Improve monitoring and observability
- Improve system reliability and cost efficiency
- Optimize machine learning inference systems
- Productionize new model architectures
- Profile GPU and CPU inference bottlenecks
Perks/Benefits
Skills/Tech-stack
Attention Mechanisms | Batching | CUDA | Compute Graphs | Distributed Systems | GPU Performance | GPU Performance Optimization | KV cache | Kernel tuning | Low Latency | Low-Latency Systems | Machine Learning | Neural Networks | ONNX Runtime | Performance optimization | PyTorch | Quantization | ROCm | Speculative decoding | Streaming | TensorRT | Triton | VLLM
Education
N/A
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