Research Scientist (Embodied AI & World Models)
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The role
Lead the design, implementation, and evaluation of AI systems for embodied contexts such as robotics and AR/VR at the edge.
Focus on world models and multimodal perception, including real-time computer vision and audio/video reasoning.
Generate research ideas, run experiments end-to-end, and rigorously analyze results to drive impactful ML progress.
Prepare and present work at leading conferences and workshops to advance the state of the art.
Collaborate with researchers and hardware/software engineers to develop hardware-aware AI models and architectures.
Essential: advanced degree, experience in embodied AI, world models or robotics, Python (PyTorch/JAX), strong ML fundamentals, and a track record of publications; desirable: C++/CUDA/Triton and hardware DL toolchains.
Focus on world models and multimodal perception, including real-time computer vision and audio/video reasoning.
Generate research ideas, run experiments end-to-end, and rigorously analyze results to drive impactful ML progress.
Prepare and present work at leading conferences and workshops to advance the state of the art.
Collaborate with researchers and hardware/software engineers to develop hardware-aware AI models and architectures.
Essential: advanced degree, experience in embodied AI, world models or robotics, Python (PyTorch/JAX), strong ML fundamentals, and a track record of publications; desirable: C++/CUDA/Triton and hardware DL toolchains.
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