Research Scientist (Embodied AI & World Models)
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The role
Responsibilities: Generate AI/ML ideas, design experiments, implement and evaluate results; Prepare, submit and present work to AI conferences/workshops; Collaborate with researchers, silicon and software engineers to define, build, and test next-generation AI hardware. About you: Essential: Master's, PhD or equivalent; experience in embodied AI, world models or robotics; Python programming in PyTorch or JAX; deep learning fundamentals; capable of designing, executing and reporting ML experiments; mathematics (calculus, probability, linear algebra); experience submitting papers to international conferences or workshops. Desirable: Lower-level programming (C++/CUDA/Triton); hardware-aware DL knowledge (threads, caches, vector/matrix engines); software stacks for DL (compilation, kernel fusion, XLA/ATen ops, streams) and asynchronous execution; conference/workshop submissions in embodied AI, world models or robotics.
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