Overview
Are you ready to teach machines how to interact with the physical world? At Nebius AI Research, we are pushing the boundaries of what intelligent agents can achieve. We are looking for a Senior ML Engineer to join our Physical AI research group. This is a fully remote position that welcomes top talent from anywhere in the world. If you want to build foundational technologies that bridge digital intelligence with physical reality, this is your chance to make a massive impact alongside a brilliant global team.
Key Responsibilities
- Design and train vision-language-action models designed for general-purpose robotic control.
- Implement advanced reinforcement learning and imitation learning techniques using human demonstrations, simulation environments, and real-world data.
- Scale complex machine learning workloads across massive GPU clusters to accelerate training cycles.
- Collaborate closely with fellow researchers and software engineers to transition experimental concepts into production-ready deployments.
- Optimize model inference to ensure responsive and safe execution in dynamic physical environments.
Requirements
- Extensive professional background in machine learning engineering, deep learning, or applied AI research.
- Deep working knowledge of reinforcement learning, imitation learning, and multimodal architectures such as vision-language models.
- Strong programming skills in Python alongside modern deep learning frameworks like PyTorch.
- Demonstrated experience scaling distributed training jobs across large GPU infrastructures.
- A curious, inventive mindset with a passion for robotics and physical AI systems.
What You'll Gain
- The opportunity to shape the core technology stack of a publicly listed global AI cloud leader.
- Competitive compensation and the freedom to work remotely from any location worldwide.
- A collaborative culture built by engineers, for engineers, giving you direct influence over hard technical problems.
- Continuous learning and growth working alongside world-class researchers and infrastructure experts.
How to Apply
Click the apply button below to view the full job details and submit your application directly through the employer's official page.

