Senior Applied Scientist, Efficient LLM Inference & Model Optimization
Nebius London
Owns focused research projects on efficient LLM and VLM inference, spanning quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization. Builds prototypes in PyTorch, Triton, and serving frameworks, evaluates trade-offs across latency, throughput, memory, and cost per token, and works with engineering teams to move results into production.