Member of technical staff (Inference) - Paris
Tasks
- Collaborate with research teams on inference efficiency
- Develop GPU kernels for attention and matrix operations
- Develop inference pipelines
- Implement model compression
- Implement quantization
- Optimize model memory usage
- Optimize throughput and latency
- Research and apply state of the art inference techniques
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | Caching | Continuous batching | Distributed Computing | Flash Attention | GPU Programming | Ggml | Llama.cpp | Model Compression | NCCL | ONNX | ONNX Runtime | Paged Attention | PyTorch | Python | Quantization | Rust | SGLang | TensorRT-LLM | Triton | VLLM
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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