Summary

Senior ml engineer role in Nebius's AI R&D team, focused on physical AI, robotic agents, multimodal foundation models, reinforcement learning, and simulation. The role involves research prototyping, large-scale training with Python and JAX, and translating approaches into reliable real-world robotic systems.

Responsibilities

• Design and train large models for robotic agents
• Develop vision-language-action architectures for physical control
• Build embodied learning datasets and quality pipelines
• Develop simulation environments and run sim-to-real experiments
• Implement planning and action-trajectory search methods
• Write research software and distributed training infrastructure
• Translate research prototypes into real-world robotic systems