Staff Machine Learning Engineer, LLM Inference Optimization
Nebius · London
Yesterday
Not specifiedllm inferencevlm inferencemodel compression
Yesterday
Workplace
Not specified
Location
London
Posted
Yesterday
Summary
The staff machine learning engineer will optimize production LLM and VLM inference across model compression, serving engines, and GPU performance. The role focuses on building benchmarking and deployment workflows for Nebius's AI cloud platform.
Responsibilities
- Own platform-level inference optimization pillars
- Build reusable evaluation and benchmarking frameworks
- Deploy and extend production inference engines
- Productionize model compression and quantization workflows
- Diagnose bottlenecks across runtime and cluster layers
- Provide technical direction on shared performance goals
pythonpytorchvllmsglangtensorrt-llmtriton inference servernvidia dynamoray servekservequantization-aware trainingdistillationspeculative decoding
llm inferencevlm inferencemodel compressioninference benchmarkinggpu serving
