NVIDIA
AIResearcher,TAOMultiModalModelDevelopment
“AI Researcher, TAO Multi-Modal Model Development at NVIDIA. Skills: AI Model Development, Multi-Modal Model Development, Deep Learning, Vision-Language Models. Develop and fine-tune multi-modal AI models using NVIDIA’s TAO Toolkit and deep learning frameworks. Contributes to the design and implementation of vision-language models (VLMs) and universal segmentation systems”
What You'll Achieve.
Build practical AI solutions that can be integrated into production pipelines, NVIDIA SDKs, and real-world customer use cases; Evaluate model accuracy, robustness, and scalability
Industry & Context.
Excellent problem-solving abilities
What They're Looking For.
Must Have
BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or a related field (or equivalent experience), 2+ years of experience in machine learning, deep learning, or computer vision model development, Python programming skills, 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, Collaborative mindset
Nice to Have
Familiarity with vision-language models, image segmentation, or large-scale pretraining
What You'll Do.
Develop and fine-tune multi-modal AI models using NVIDIA’s TAO Toolkit and deep learning frameworks
Contributes to the design and implementation of vision-language models (VLMs) and universal segmentation systems
Conduct experiments and benchmarking to evaluate model accuracy
Integrate research into production-level pipelines and NVIDIA SDKs
Participate in research discussions
and technical documentation
How You'll Work.
Team & Collaboration
Collaborate with engineers, researchers, and cross-functional teams; Collaborate with cross-functional teams to integrate your research into production-level pipelines and NVIDIA SDKs; Participate in research discussions; Participate in code reviews
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