Develop and fine-tune multi-modal AI models using NVIDIA’s TAO Toolkit and deep learning frameworks.
Contribute to the design and implementation of vision-language models (VLMs) and universal segmentation systems.
Conduct experiments and benchmarking to evaluate model accuracy, robustness, and scalability.
Collaborate with cross-functional teams to integrate your research into production-level pipelines and NVIDIA SDKs.
Participate in research discussions, code reviews, and technical documentation to share insights and improve methodologies.
What we need to see
Currently pursuing a degree in Computer Science, Computer Engineering, or a related field.
Proven experience with machine learning, deep learning, or computer vision model development.
Strong Python programming skills and proficiency with PyTorch or similar frameworks.
Solid understanding of neural network architectures, transformers, and multi-modal learning techniques.
Excellent problem-solving abilities, attention to detail, and a collaborative mindset.
Familiarity with vision-language models, image segmentation, or large-scale pretraining is a strong plus.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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.
