Senior ML Engineer (AI Research, Physical AI)

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises across data, model training, and production deployment. The Senior ML Engineer will conduct applied research in Physical AI, developing and evaluating foundation models, learning algorithms, simulation systems, and robotic agents while collaborating with research and engineering teams to translate findings into real-world systems.

Responsibilities:

• Designing, implementing, training, and evaluating large models and learning algorithms for robotic agents
• Developing vision-language-action architectures that connect multimodal perception and language understanding with physical control
• Investigating reinforcement learning and imitation learning methods for sparse, delayed, or difficult-to-verify objectives
• Building scalable methods for incorporating demonstrations, teleoperation data, video, simulation trajectories, and autonomous robot experience into foundation models
• Designing capture methodologies, datasets, evaluation protocols, and data-quality pipelines for embodied learning
• Developing simulation environments and conducting sim-to-real experiments on physical robotic platforms
• Exploring planning, guided generation, and search over action trajectories
• Prototyping new capabilities in areas such as dexterous manipulation, mobile manipulation, and whole-body control
• Writing robust research software and distributed training infrastructure that enable rapid experimentation
• Collaborating with research and engineering teams to translate promising ideas into reliable real-world systems
• Communicating results through technical reports, open-source releases, demonstrations, and research publications