Senior ML Engineer – Token Factory

Nebius Group

Senior ML Engineer working on high-performance inference and fine-tuning platform at Nebius Cloud. Driving production speedups and optimising GPU workloads for AI applications.

Posted 7/1/2026full-timeRemote • 🇳🇱 NetherlandsSeniorWebsite

Tech Stack

Tools & technologies

CloudFlashPythonPyTorch

About the role

Key responsibilities & impact

Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs.
We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits.
Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.
Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups.
Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

Requirements

What you’ll need

A profound understanding of theoretical foundations of machine learning and transformer architecture.
Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
Understanding of GPU memory hierarchy and compute/memory tradeoffs
Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
Strong software engineering skills (we mostly use Python)
Deep experience with modern deep learning frameworks
Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
Strong communication and leadership abilities

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine LearningTransformer ArchitecturePython ProgrammingLow Precision TrainingInference Optimization TechniquesProfiling ToolsNeural Network TrainingCI/CDVersion ControlUnit Testing

Soft Skills

Strong CommunicationLeadership Abilities