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What You'll Be Doing

• 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.