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Research Scientist Intern, Simulation Technology

Company: NVIDIA Ltd.
Location: Santa Clara
Posted on: October 14, 2020

Job Description:

NVIDIA is searching for a world-class researcher to join our growing research team. The ideal candidate will be conducting cutting-edge research at the intersection of Machine Learning, Computer Vision and Computer Graphics, and working alongside top experts in these fields. With incredible resources in AI, graphics and robotics, you will be able to impact, contribute and advance these exciting domains. Topics include but are not limited to AI for simulation, 3D Deep Learning, DL for animation, content generation, transfer learning, domain adaptation, computer vision, and medical imaging. With its unique open culture, NVIDIA is one of the best industry labs to do AI research. Image recognition and speech recognition GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as the AI computing company. What youll be doing: - Gain hands on experience with designing and implementing various machine learning techniques - Partner and collaborate with other forward-thinking team members and external researchers. - Have the opportunity to participate and speak at conferences and events - Publish original research - Work with intelligent machines powered by AI computers that can learn, reason and interact with people in multiple industries. What we need to see: - Currently pursuing a , Masters or Ph.D. in Electrical Engineering, Computer Science/Engineering, Math/Physics/Statistics or a related field. - Good communications skills. Requirements if pursuing a Bachelors: - Minimum 1 course on theories and practices of machine learning, including common machine learning frameworks - Track record of academic excellence Requirements if pursuing a Masters or PhD: - In-depth knowledge of the theory and practice of machine learning. - Minimum 1 strong publication record (NeurIPS, ICML, AAAI, CVPR, ECCV, ICCV, etc). - Knowledge of common machine learning frameworks - Track record of research excellence NVIDIA is widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Memory Subsystem Design Team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. #deeplearning

Keywords: NVIDIA Ltd., Santa Clara , Research Scientist Intern, Simulation Technology, IT / Software / Systems , Santa Clara, California

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