Join NVIDIA, a company at the forefront of technological innovation, renowned for pioneering the GPU and revolutionizing parallel computing. As artificial intelligence research accelerates globally, NVIDIA's GPUs provide the essential computational power for these advancements. We are a dynamic, evolving organization driven by tackling complex challenges that shape the world. Our mission is to amplify human creativity and intelligence, fostering a supportive and diverse environment where exceptional work thrives. Be part of our journey to make a significant global impact.

Develop advanced deep learning methodologies to enhance large language and multi-modal models. Implement machine learning techniques for adapting foundation models to specific downstream tasks, including software assistants and sophisticated dialogue systems. Construct and manage large-scale datasets, incorporating human preferences and domain-specific data. Collaborate closely with product and hardware architecture teams to integrate research findings into industry-leading applications.

Requires a Master's or PhD in Electrical Engineering, Computer Science/Engineering, or a related discipline, or equivalent practical experience. Possess at least 3 years of experience in machine learning or deep learning research. Strong knowledge in application areas like Natural Language Processing and Computer Vision is essential. Proficiency in rapid prototyping environments such as Python is a must, with C++ and parallel programming (e.g., CUDA) being advantageous. Expertise with deep learning frameworks, particularly PyTorch, is required. Demonstrated research excellence through publications in premier conferences and journals is expected.