AI Research Intern, TAO Multi-Modal Model Development - 2026
Originally posted 25 August 2026 by the employer.
About the role
This internship focuses on AI research and multi-modal model development within the TAO framework.
What you'll do
- 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 you'll need
- 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.
Skills: AI Research Intern, TAO Multi-Modal Model Development, vision-language modeling, deep learning frameworks, PyTorch, neural network architectures
This role has been open 36 days — well below the 71-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
501
|
Median days open
71 d
|
Median salary
$225k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (501 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 84 | 501 |
| Open roles in the wider Software, Firmware & Systems family | 971 | 5943 · 145 employers |
| Median days open | 68 d | 71 d (−3 d vs this employer) |
| Median salary (USD postings) | — | $225k |
Skills observed across this category: AI Research Intern, TAO Multi-Modal Model Development, vision-language modeling, deep learning frameworks, PyTorch, neural network architectures
Who's hiring in this category
- Qualcomm · 106 open roles · median 104 d
- NVIDIA (this employer) · 81 open roles · median 67 d
- AMD · 42 open roles · median 64 d
- Micron Technology · 29 open roles · median 54 d
- Mobileye · 20 open roles · median 67 d
- Analog Devices · 14 open roles · median 33 d
How we counted: 501 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 30 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.