Research Scientist (Embodied AI & World Models)
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The role
Lead the ideation, design, implementation, and evaluation of embodied AI and world models for low-power and edge scenarios.
Develop and run experiments, analyze results, and iterate on algorithms for real-time perception, control, and reasoning.
Prepare and present work for leading AI conferences and workshops, communicating findings to technical and non-technical audiences.
Collaborate with researchers, silicon and software engineers to define, build, and test the next generation of AI hardware and software co-design.
Advance training and deployment of multimodal models across robotics, AR/VR, and autonomous systems, covering vision, audio and video streams.
Requirements include an advanced degree or equivalent, strong Python (PyTorch/JAX), solid ML fundamentals, and demonstrated ability to report ML experiments; desirable: C++/CUDA/Triton and hardware-aware DL knowledge.
Develop and run experiments, analyze results, and iterate on algorithms for real-time perception, control, and reasoning.
Prepare and present work for leading AI conferences and workshops, communicating findings to technical and non-technical audiences.
Collaborate with researchers, silicon and software engineers to define, build, and test the next generation of AI hardware and software co-design.
Advance training and deployment of multimodal models across robotics, AR/VR, and autonomous systems, covering vision, audio and video streams.
Requirements include an advanced degree or equivalent, strong Python (PyTorch/JAX), solid ML fundamentals, and demonstrated ability to report ML experiments; desirable: C++/CUDA/Triton and hardware-aware DL knowledge.
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