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Distinguished Technologist, Deep Learning Jobs

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Distinguished Technologist, Deep Learning
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United States , San Jose
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164500.00 - 398500.00 USD / Year
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Hewlett Packard Enterprise
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Until further notice
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Distinguished Technologist, Cloud Development (AI/ML)
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United States , San Jose
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164500.00 - 398500.00 USD / Year
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Hewlett Packard Enterprise
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Until further notice
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Explore the frontier of artificial intelligence by pursuing Distinguished Technologist, Deep Learning jobs. This elite role represents the pinnacle of a technical career track, reserved for visionary experts who shape the future of AI. Unlike management-focused paths, Distinguished Technologists are individual contributors who wield immense influence through their deep technical mastery and strategic insight. They are the thought leaders and architects behind the most advanced deep learning systems, guiding organizations through the complexities of modern AI. Professionals in these roles are primarily responsible for setting the long-term technical vision and strategy for deep learning initiatives within an organization. A typical day involves researching and prototyping next-generation AI architectures, providing technical oversight for major product development, and ensuring that engineering best practices are upheld across teams. They act as cross-functional experts, bridging the gap between complex research and practical, scalable product implementation. A core responsibility is mentoring senior and principal-level engineers, fostering a culture of innovation and technical excellence to grow the organization's overall capability. They also frequently engage in high-level technical consultations, providing critical design input and feedback on architectures to ensure systems are robust, scalable, and secure. The skill set required for these jobs is extensive and typically cultivated over 15 or more years of industry experience. A Master's or Ph.D. in Computer Science, Engineering, or a related field is a common prerequisite. Candidates must possess profound, hands-on expertise in building, training, and optimizing large-scale deep learning models using frameworks like PyTorch. A comprehensive understanding of various neural network architectures—such as Transformers, CNNs, GNNs, and Reinforcement Learning—is essential. Practical experience with the full lifecycle of large language models, including pre-training, fine-tuning, and alignment, is highly valued, as is proficiency in advanced techniques like Retrieval-Augmented Generation (RAG) and sophisticated prompt engineering. Beyond pure technical acumen, these roles demand exceptional leadership and communication skills to articulate complex technical strategies to senior executives and to influence diverse engineering groups toward common, ambitious goals. If you are a seasoned expert ready to define the next wave of AI innovation, exploring Distinguished Technologist, Deep Learning jobs is your next strategic move.

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