Machine Learning Engineer — Inference Optimization
Tasks
- Benchmark model performance across hardware
- Build inference serving infrastructure
- Implement quantization and caching optimizations
- Improve monitoring observability and reliability
- Optimize machine learning inference systems
- Productionize new model architectures
- Profile GPU and CPU inference bottlenecks
- Reduce inference operational cost and improve scalability
Perks/Benefits
- Close collaboration with research and product teams
- Engineering focused culture
- Equity participation
- Flexible remote work
- High ownership
- Technical experimentation and quality
Skills/Tech-stack
Attention Mechanisms | Batching | CUDA | CUDA Graphs | Distributed Systems | KV cache | Language Models | Large Language Models | Low Latency | Low-Latency Services | Machine Learning | Model Optimization | Neural Network | ONNX Runtime | PyTorch | Python | Quantization | ROCm | Speculative decoding | Streaming | TensorRT | Triton | VLLM
Education
N/A
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