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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We would love to welcome a new Lead Scientist: Efficient LLM Inference & Optimization to our organisation in Greater London, England, United Kingdom.
The position is based in Greater London, England, United Kingdom.
This opportunity is part of our work in IT & Technology, Other.
The advertised compensation is 90.000 - 150.000.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.