Machine Learning Engineer, AI for Gaming

NVIDIA is searching for a world-class research engineer in AI to join our applied research team. If you agree with us that the most exciting thing about the AI revolution is applying it to tackle real problems, this team will be a phenomenal fit for you! We are passionate about applications in generative AI, gaming, augmented reality, user-generated content, computer vision, and other areas, with the goal of improving graphics, gameplay, or other domains within the gaming and pro-visualization markets. Working with other teams throughout the company, you will productize promising research, as well as develop new features through your own work.

What you'll be doing:

• Use AI for solving product problems in gaming and other interactive experiences.

• Build upon the latest research to create new models and invent new ways of applying AI to advance neural graphics and gaming.

• Create prototypes to demonstrate real-life applications of your ideas and to accelerate productization.

• Construct and curate large problem-specific datasets.

• Improve and extend existing deep learning solutions.

• Keep up with the latest AI/DL research and collaborate with diverse teams (both internal and external to NVIDIA), including AI/DL researchers, hardware architects, and software engineers.

• Participate in technology transfers to and from teams across NVIDIA.

What we need to see:

• Masters in Computer Science/Engineering, Machine Learning, AI, and related fields (or equivalent experience)

• 10+ years of machine learning / deep learning research or work experience

• Excellent knowledge of theory and practice of ML.

• Knowledge of application areas such as real-time computer graphics, CV, and game development.

• Expertise with programming systems such as Python, C++, CUDA, and deep learning frameworks such as TensorFlow and PyTorch. Very strong programming skills.

• A track record of proven research excellence via presentations, demos, or publications at leading venues such as GDC, ICCV/ECCV, SIGGRAPH etc or other research artifacts such as software projects or significant product development.

Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. 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 known as “the AI computing company.”

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.