Senior Machine Learning Engineer, LLM Inference Optimization
Nebius · London
3 weeks ago
Not specifiedLLM inference optimizationVLM servingmodel compression
3 weeks ago
Workplace
Not specified
Location
London
Posted
3 weeks ago
Summary
The senior machine learning engineer will optimize LLM and VLM inference systems across model internals, serving engines, and production endpoints. The role focuses on latency, throughput, memory efficiency, GPU utilization, model quality, and cost per token in a hands-on AI cloud environment.
Responsibilities
- Optimize endpoints for latency and throughput
- Deploy and benchmark inference engines
- Debug production model regressions
- Build model compression workflows
- Implement speculative decoding and KV-cache optimization
- Diagnose bottlenecks across serving layers
pythonpytorchvllmsglangtensorrt-llmtriton inference servernvidia dynamoray servekservecudaquantizationspeculative decoding
LLM inference optimizationVLM servingmodel compressiontransformer inferenceGPU computinginference benchmarking
