Senior Applied Scientist, Efficient LLM Inference & Model Optimization

Role description

Role Overview

Nebius is a cloud infrastructure company leading a new era in AI. The Senior Applied Scientist will design rigorous experiments, write strong code, collaborate with engineers, and convert research into deployed inference capabilities.

What You Will Do

Own focused research projects, prepare internal reports, partner with MLEs, define and execute research programs, invent and productionize methods, build prototypes, and publish papers.

Why It Might Be a Fit

The ideal candidate has a strong publication record, hands-on coding ability, deep understanding of LLMs, VLMs, and transformer inference, and excellent written and verbal communication skills.

Requirements

• PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied math, or a closely related field
• Strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas
• Strong hands-on coding ability in Python and PyTorch
• Deep understanding of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving tradeoffs
• Strong experimental design skills, including ablations, baselines, metrics, statistical reasoning, and failure analysis
• Excellent written and verbal communication

Benefits

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams