Senior ML Engineer (AI Research, Physical AI)

📋 Description Research, design, and implement advanced ML solutions for physical AI. Design, train, and evaluate large-scale ML models for robotic agents. Develop vision-language-action architectures for multimodal perception and control. Apply RL, imitation learning, and learning-from-demonstration for complex robotic tasks. Incorporate human demonstrations, simulation data, and autonomous robot experiences into models. Develop simulation environments and conduct sim-to-real experiments. 🎯 Requirements Strong theoretical understanding of ML, RL, robotics, or related AI fields. Deep expertise in RL, imitation learning, multimodal generative modeling, CV, robotics, or Experience training modern deep learning models (transformers) and large-scale models across Proficient in Python; experience with JAX or similar DL frameworks. Excellent experimental design, result analysis, and documentation skills. Strong communication and collaboration across research and engineering teams. 🎁 Benefits Competitive compensation package. Flexible work environment with autonomy and ownership. Opportunity to work on advanced AI research with real-world impact. Career growth opportunities and learning support. Collaboration with international research and engineering teams. Innovative culture focused on bold ideas and progress.