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Research Engineer - Speech/Audio Machine Learning

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Machine Learning — Speech Recognition — Audio Processing — Python — Deep Learning — Model Training — Inference Optimization — Distributed Systems — CUDA/GPU Programming — TensorFlow or PyTorch

About the Institute of Foundation Models   We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.   As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.   The Role   As a Research Engineer specializing in speech/audio machine learning, you will bridge the gap between research and production constraints to deliver competitive performance. You will be responsible for the end-to-end performance of our machine learning speech systems, from architecting scalable training infrastructure to achieving extreme low-latency inference.