Senior Applied Scientist, Efficient LLM Inference & Model Optimization
London
Nebius is leading a new era in cloud infrastructure for the global AI economy.
Nebius Group, a cloud infrastructure leader, seeks a PhD-level researcher to drive efficient LLM/VLM inference research and translate findings into production-ready solutions. You will lead experiments, build prototypes with PyTorch/Triton, and collaborate with engineers to optimize throughput, latency, and cost across distributed systems.
You will publish results, mentor peers, and contribute to open-source artifacts while shaping research priorities with measurable production impact.
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London
Nebius is leading a new era in cloud infrastructure for the global AI economy.
London
Nebius is leading a new era in cloud infrastructure for the global AI economy.
London
You’ll make Luma’s multimodal models fast — profiling and optimizing GPU, CPU, and accelerator code so they train efficiently and deploy at scale…
London
You'll make Luma's multimodal models fast — profiling and optimizing GPU, CPU, and accelerator code so they train efficiently and deploy at scale…
London
You'll make Luma's multimodal models fast — profiling and optimizing GPU, CPU, and accelerator code so they train efficiently and deploy at scale…
London
You'll make Luma's multimodal models fast - profiling and optimizing GPU, CPU, and accelerator code so they train efficiently and deploy at scale…
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