Applied Deep Learning Research Scientist, Audio - New College Grad 2023

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement!

We are looking for Research Scientists passionate about multi-modal large generative models! NVIDIA is searching for expert researchers in audio, deep learning, generative models and large language models to join our applied deep learning research team that pioneered Megatron, DLSS, and several models for Audio (BigVGAN, One TTS Aligner To Rule Them All, RADMM, ZenFlow, P-Flow). Our team is pushing the boundaries of Generative AI by building innovative multi-modal generative models and applying them to solve real-world problems. If you are excited about the latest research and technologies revolutionizing Generative AI and want to explore creative new paradigms for multi-modal generative models with a focus on LLMs and audio, this team will be a great fit for you.

What You Will Be Doing

• 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.
• Research, design, implement and publish novel, large-scale generative models that improve multi-modal LLMs with a focus on audio.
• Design and implement machine learning techniques to adapt generative models to downstream tasks of interest such as audio understanding and synthesis.
• Construct and curate datasets for large-scale machine learning and specific domains of applications.
• Collaborate with other team members, research teams, as well as product teams to integrate your research and developments into products.

What We Need To See

• Outstanding research track record.
• Excellent programming skills in some rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus.
• Expertise with deep learning frameworks such as PyTorch.
• Must be pursuing or have recently completed a Ph.D. program in Computer Science/Engineering, Statistics, Electrical Engineering, etc., or equivalent experience.
• Excellent knowledge of the theory and practice of Generative AI.
• Strong knowledge of application areas such as audio and natural language processing.
• Relevant research experience in deep learning, audio, generative models, or related machine learning fields.

Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!

The base salary range is $156,000 - $287,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits .

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.