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are proficiency in Python, deep learning frameworks such as Keras, PyTorch, TensorFlow, or other related software stacks, and a solid background in machine learning, cybersecurity, or AI robotics, and the ability
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experiments to test synthetic data quality, reliability, and resilience under corrupted or adversarial conditions. Participate in compiling and curating large-scale datasets for model training and benchmarking
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multidisciplinary STEM+Bio team is required as well as the willingness to learn skills that may not be part of your core training. Some familiarity with or interest in robotics and the NVIDIA Isaac software stack is
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familiarity with or interest in robotics and the NVIDIA Isaac software stack is a plus, as is some familiarity with common LISP for working on hybrid AI systems (good old-fashioned AI + NNs). Benefits: https
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core training. Some familiarity with or interest in robotics and the NVIDIA Isaac software stack is a plus, as is some familiarity with common LISP for working on hybrid AI systems (good old-fashioned AI
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OCR.NewYork@ed.gov . Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her