Machine Learning Engineer — Inference Optimization
Tasks
- Benchmark model performance on GPUs and CPUs
- Build and maintain inference serving infrastructure
- Deploy and productionize machine learning models
- Implement model quantization and KV cache optimization
- Improve monitoring and observability for inference systems
- Optimize machine learning inference systems for latency and throughput
- Profile and identify GPU and CPU inference bottlenecks
- Scale inference systems for real user workloads
Perks/Benefits
- Collaboration with cross-functional teams
- Engineering focused culture
- Equity participation
- Experimentation and technical excellence
- High ownership
- Remote work flexibility
Skills/Tech-stack
Batching | CUDA | Distributed Systems | GPU Performance | GPU Performance Optimization | KV cache | Language Models | Large Language Models | Machine Learning | ONNX | ONNX Runtime | Performance optimization | PyTorch | Quantization | Speculative decoding | Streaming | TensorRT | Triton | VLLM
Education
N/A
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