NVIDIA's Conversational AI research team seeks a Director of AI Research to lead the development of new deep learning algorithms and techniques for efficient LLM inference.  Responsibilities include designing new architectures for advanced LLMs, adapting foundation AI models to downstream tasks (math, code reasoning), contributing to the Nemo framework, curating datasets, and collaborating with product and hardware teams. The ideal candidate will possess a PhD in Computer Science/Electrical Engineering, 15+ years of machine learning/deep learning experience (10+ in management), expertise in NLP and speech processing, proficiency in Python and PyTorch, and a strong publication record.  This role involves leading a team to build and deploy cutting-edge AI solutions.

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<div data-automation-id="jobPostingDescription" class="css-4r17ng">We&nbsp;are&nbsp;looking&nbsp;for&nbsp;Director of AI research team, to work on new deep learning algorithms and techniques for efficient LLM inference&nbsp;NVIDIA is searching for world-class researchers in deep learning and natural language processing (NLP) to join our Conversational AI research team. Our team is pushing the boundaries of generative AI by building state-of-the-art large language models (LLM). We &nbsp;work on new neural architectures to enable LLM with very long context, on applying LLM to solve complicated math and coding problems, and on improvement LLM robustness. If you are passionate about the latest research and technologies revolutionizing generative AI and want to explore creative new paradigms for applied foundation models such as reasoning &nbsp;agents, this team will be a great fit for you. After building prototypes that demonstrate the promise of your research, you will collaborate with product teams to apply your ideas into industry-leading real-world applications.What you will do:<ul><li>Lead the team which will work on new deep learning algorithms and techniques for efficient LLM inference&nbsp;</li><li>Develop new architectures for advanced large language models</li><li>Design and adapt foundation AI models to downstream tasks such as math and code reasoning.</li><li>Contribute these new models to Nemo framework</li><li>Construct and curate datasets for large-scale machine learning, for learning from human preferences, and for specific domains of applications.</li><li>Work closely with product and hardware architecture teams to integrate your research and developments into products.</li></ul>What we need to see:<ul><li>MSc or PhD in &nbsp;Computer Science/ Electrical Engineering&nbsp;</li><li>15 overall Years of extensive machine learning / deep learning research or work experience, and 10 years of management experience</li><li>Knowledge of application areas such as natural language processing and speech processing.</li><li>Excellent programming skills in some rapid prototyping environments such as Python;&nbsp;</li><li>Expertise with deep learning frameworks such as PyTorch.</li><li>A track record of research excellence demonstrated in publications at leading conferences and journals.</li></ul>With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.</div>

Director of AI Research