1 month ago
Remote, EMEA +2 moreSenior
Responsibilities
- Design and develop the LLM training platform.
- Maintain ML infrastructure for optimal performance, scalability, and reliability.
- Improve job scheduling strategies to minimize resource fragmentation.
- Develop web services and large distributed systems for AI workloads.
Requirements
- At least 5 years of professional software development experience.
- Strong software engineering skills, primarily using Python and Go.
- Experience developing web services.
- Familiarity with contemporary software engineering approaches, including CI/CD, version control, and unit testing.
- Experience with language models or similar NLP technologies is preferred.
- Experience building and delivering products in a dynamic startup-like environment is preferred.
- Experience developing large distributed systems or high-load web services is preferred.
- Open-source projects demonstrating strong engineering ability are preferred.
Benefits
- Competitive compensation.
- Career growth and learning opportunities.
- Flexibility, ownership, and a collaborative innovative culture.
- Opportunity to work on impactful AI projects with international teams.
Categories
About Nebius
Nebius builds a full-stack AI cloud offering GPU compute, storage, and tools for training and deploying ML models for startups, enterprises, and research labs. It sells consumption-based cloud infrastructure (IaaS/PaaS) and managed services tailored to generative AI workloads, including large-scale model training and inference. The company is headquartered in Amsterdam and operates as an independent provider.