Senior Scientist: Efficient LLM Inference & Model Optimization

Nebius in London is seeking a Senior Applied Scientist to drive efficient LLM inference and model optimization. You will own focused research, run rigorous experiments, and deliver production-ready prototypes and artifacts.

Your work spans quantization, QAT, distillation, speculative decoding, KV-cache reuse/compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes with PyTorch, Triton, CUDA, and evaluate latency, throughput, and cost for production

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