Research Scientist, Computer Vision And AI - New College Grad 2025
at Nvidia
π Santa Clara, United States
$160,000-253,000 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 4 Machine Learning @ 4 Parallel Programming @ 4 PyTorch @ 4Details
NVIDIA is searching for an outstanding AI researcher to join the learning and perception research team. We are passionate about research that pushes boundaries but also has an impact in the real world. Specific areas we are excited by include β but are not limited to β perception, reasoning, multi-modal learning, as well as embodied AI. You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, and so forth. Your contributions have the chance to create real impact on our products.
Responsibilities
- Research, design and implement novel computer vision and deep learning methods.
- Publish original research.
- Collaborate with other team members and teams on mission-driven research.
- Mentor interns.
- Speak at conferences and events.
- Work with product groups to transfer technology.
- Collaborate with external researchers.
Requirements
- Graduating with a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.
- Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
- Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus.
- Knowledge of common machine learning frameworks, such as PyTorch.
- Outstanding research track record.
- Excellent communications skills.
Benefits
With competitive salaries and a generous benefits package, NVIDIA is 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 best-in-class research teams are rapidly growing.