NVIDIA
AIResearcher,TAOMulti-ModalModelDevelopment
Neural analysis suggests this role is
optimal for Entry candidates.
“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
Full Job Description
NVIDIA is seeking a motivated AI Model Development Researcher to join the TAO — Train, Adapt, Optimize — Multi-Modal Model Development team in Hanoi or Ho Chi Minh City, Vietnam. In this role, you will contribute to the development, adaptation, optimization, and evaluation of advanced AI models within the NVIDIA frameworks. You will work on cutting-edge areas such as multi-modal learning, vision-language models, image segmentation, foundation model adaptation, and scalable deep learning workflows. You will collaborate with engineers, researchers, and cross-functional teams to build practical AI solutions that can be integrated into production pipelines, NVIDIA SDKs, and real-world customer use cases. This is an excellent opportunity for an early-career engineer/scientist who is passionate about machine learning, deep learning, vision-language models, and building high-quality AI software. **What you 'll be doing:** * 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, 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:** * 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. * 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 coll
Applying for this AI Researcher, TAO Multi-Modal Model Development role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.