Your career compass awaits
Create a free account to unlock
- ✓ See how you match this role
- ✓ AI resume tailored to this specific job
- ✓ Inside Track Companion — find your insider contact
- ✓ Skills gap analysis and upskill plan
- ✓ Interview prep kit for this role
- ✓ Relocation concierge — salary, tax, cost of living
Free — no credit card required
Senior Software Engineer (Token Factory)
✓ This company has sponsored visas before. The posting doesn't say so, but it's still worth applying.
ICT
💰 Salary Not shared
📊 Market 6,000 GBP–9,000 GBP/mo (72,000 GBP–108,000 GBP/yr)
About the Company
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About the Job
This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include investigating how test-time guided search can be used to build more powerful agents, dramatically scaling task data collection to power reinforcement learning for SWE agents, and maximizing efficiency of LLM training on agentic trajectories. One example of an AI product that we are deeply involved in is Nebius Token Factory - an inference and fine-tuning platform for AI models. This role will require expertise in distributed systems to build large-scale LLM training platform.
Role & Responsibilities
- ● Designing and developing LLM training platform.
- ● Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
- ● Improving job scheduling strategies to minimize resource fragmentation.
Requirements
Experience
- ● 5+ years of professional software development experience.
- ● Experience with developing web services.
- ● Previous experience working with language models or other similar NLP technologies.
- ● A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
- ● Strong engineering skills, including experience in developing large distributed systems or high-load web services.
Skills
- ● Strong software engineering skills (we mostly use Python and Go).
- ● Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
- ● A commitment to maintaining extreme rigor in all job-related activities.
- ● Open-source projects that showcase your engineering prowess.
Confirm Application
Are you applying to ?
We'll track this in your dashboard as Applied.
Saving to your tracker…
Stand out: message someone at Nebius.
A short, personal note to a recruiter can get your application looked at sooner.
⚡ Full Resume Sandbox Canvas