Summary

This senior ML engineer role focuses on applied AI research for agentic systems, reinforcement learning, language models, and model post-training at Nebius AI R&D. The role uses Python and JAX to conduct large-scale experiments, while the working arrangement is not specified.

Responsibilities

• Conduct experiments to train large language models
• Explore guided generation and search methods
• Mine relevant data at web scale
• Test reinforcement learning configurations in verifiable domains
• Develop training methods for non-verifiable rewards
• Design and analyze statistically rigorous experiments