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, accountable and transparent AI applications, proactively assessing and mitigating risks related to model bias and failures. Implement robust monitoring systems, including feedback pipelines and correction
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. Develop learning exercises, hands-on activities, workshops, and demos on various new and emerging topics such as AI, machine learning, embedded systems, and digital fabrication techniques. Collaborate and
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the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired. Special Instructions Contact
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applications using tools (such as NeMo) Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems Experience working with
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) Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems Understand the underlying fundamentals of LLMs Experience
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, matrix factorization, network community detection and mixed membership estimation, topic modeling, word embedding, and reinforcement learning. The appointment will be for up to two years with annual