Senior ML Engineer (AI Research, Physical AI)

📋 Description Design, implement, train, and evaluate large-scale ML models for robotic agents. Develop vision-language-action architectures linking perception, language understanding, and Research and apply RL, imitation learning, and learning-from-demonstration for complex robotic Incorporate human demonstrations, simulation data, video, and autonomous robot experiences into AI Create datasets, evaluation methodologies, data-quality pipelines, and capture strategies for Develop simulation environments and conduct sim-to-real experiments on robotic platforms. 🎯 Requirements Strong theoretical understanding of ML, RL, robotics, or related AI disciplines. Deep expertise in reinforcement learning, imitation learning, multimodal generative modeling Experience training modern deep learning models (transformers) and using Python for Experience with JAX or equivalent frameworks; ability to design rigorous ML experiments and analyze Excellent documentation and communication; ability to collaborate across research and engineering Familiarity with software engineering practices (version control, testing, CI/CD). 🎁 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 continuous learning support. Collaboration with international research/engineering teams. Innovative culture focused on experimentation and meaningful progress.