Senior Software Engineer (Token Factory) - Nebius

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; maximizing efficiency of LLM training on agentic trajectories. Designing and developing LLM training platform. Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability. Improving job scheduling strategies to minimize resource fragmentation. 5+ years of professional software development experience. Strong software engineering skills (we mostly use Python and Go). Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing. Experience with developing web services. A commitment to maintaining extreme rigor in all job-related activities. 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. Open-source projects that showcase your engineering prowess. Competitive compensation Career growth and learning opportunities Flexibility and work-life balance Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams

Designing and developing LLM training platform. Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability. Improving job scheduling strategies to minimize resource fragmentation.

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; maximizing efficiency of LLM training on agentic trajectories. Designing and developing LLM training platform. Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability. Improving job scheduling strategies to minimize resource fragmentation. 5+ years of professional software development experience. Strong software engineering skills (we mostly use Python and Go). Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing. Experience with developing web services. A commitment to maintaining extreme rigor in all job-related activities. 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. Open-source projects that showcase your engineering prowess. Competitive compensation Career growth and learning opportunities Flexibility and work-life balance Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams