Senior AI Audio Applied Research Engineer
at Nvidia
π Santa Clara, United States
$180,000-276,000 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Machine Learning @ 4 Parallel Programming @ 4 PyTorch @ 4Details
NVIDIA is searching for world-class research engineers to join the AI for Games team. If, like us, you are driven to pioneer AI research into real-life applications, we would love to talk to you! We are passionate about applications in multimodal generative AI, audio, video, language models, computer vision, and other areas, with the goal of improving graphics, gameplay, or other domains within the gaming and pro-visualization markets. You will collaborate with teams throughout the company to bring new AI features to market, as well as develop new AI features through your own work.
Responsibilities
- Research, design, and implement generative models that improve multi-modal language models with a focus on audio.
- Use AI for solving product problems in gaming and other interactive experiences by designing techniques to adapt generative models to tasks, i.e. audio understanding and summarization.
- Fine-tune multi-modal network architectures for optimal accuracy and inference speed; write optimal inference kernels for NVIDIA hardware.
- Create prototypes to demonstrate real-life applications of your ideas and to accelerate productization.
- Construct and curate large problem-specific datasets.
- 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.
Requirements
- Master's in computer science/engineering, Machine Learning, AI, and related fields (or equivalent experience).
- 7+ years of machine learning / deep learning research or work experience.
- Solid understanding of audio signal processing and natural language processing.
- Excellent programming skills in C/C++. Knowledge of parallel programming (i.e. CUDA and TensorRT) is a big plus.
- Expertise with deep learning frameworks such as PyTorch.
- A track record of proven research excellence via presentations, demos, or publications at leading venues such as GDC, ICCV/CVPR, NeurIPS, InterSpeech, ICASSP, SIGGRAPH etc. or other research artifacts such as software projects or significant product development.
NVIDIA offers competitive salaries and a generous benefits package, widely considered to be one of the technology worldβs 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.