Research Engineer, Model Inference & Serving - Paris

About H:H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.

Develop scalable, low-latency and cost effective inference pipelines Optimize model performance: memory usage, throughput, and latency, using advanced techniques like distributed computing, model compression, quantization and caching mechanisms…

Technical skills: MS or PhD in Computer Science, Machine Learning or related fields Proficient in at least one of the following programming languages: Python, Rust or C/C++ Experience in GPU programming such as CUDA, Open AI Triton, Metal, etc.