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.