Senior ML Engineer (AI Research, Physical AI)

📋 Description

• Research, design, and implement ML solutions for physical AI.
• Build models and infrastructure for intelligent agents in real environments.
• Collaborate with research and engineering teams on robotics tasks.
• Develop sim-to-real pipelines and scalable training systems.
• Prototype capabilities for dexterous manipulation and mobile robotics.
• Advance AI capabilities through rigorous experiments and reporting.

🎯 Requirements

• Strong ML theory and robotics/AI discipline background.
• Deep expertise in Reinforcement Learning or Imitation Learning.
• Experience with multimodal modeling and computer vision.
• Python software engineering; experience with JAX or similar DL frameworks.
• Ability to run large-scale model training and evaluate results.
• Good communication and collaboration across teams; technical writing.

🎁 Benefits

• Competitive compensation package.
• Flexible work environment with autonomy and ownership.
• Opportunity to work on advanced AI projects with real impact.
• Career growth and continuous learning support.
• Collaborative international research teams and culture of experimentation.
• Influence future AI-powered physical systems development.