NVIDIAArtificial Intelligence Research Intern - Deep Learning
NVIDIA is hiring an Artificial Intelligence Research Intern - Deep Learning in Taipei, Taiwan. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions PyTorch, Python and C among its tools and skills.
- Level classes it as an internship.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Conduct cutting-edge research in deep learning, computer vision, and large language models as a research intern.
NVIDIA is searching for research interns to join our team in Taipei. We are passionate about research that pushes boundaries but also has impact in the real world. Specific areas we are excited by include but are not limited to VLA, efficient DL, 3D vision, AI safety, and speech LLMs. You will work within an amazing and collaborative research organization that consistently publishes at the top venues across computer science. You have the opportunity to join and shape a new research team, where your contributions can create real impact on our products.
What you will be doing:
Research, design and implement novel AI and deep learning methods.
Publish original research.
Collaborate with other team members and teams.
Speak at conferences and events.
Collaborate with external researchers.
What we need to see:
Ph.D. students in Computer Science/Engineering, Electrical Engineering, etc.
Excellent knowledge of theory and practice of computer vision, natural language processing, speech/audio processing, and deep learning methods.
Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus.
Knowledge of common machine learning frameworks, such as PyTorch.
Outstanding research track record.
Very good publication record.
Excellent communication skills.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you!
We are an AA/EEO/Veterans/Disabled employer. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
How we rate this
Artificial Intelligence Research Intern - Deep Learning at NVIDIA rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where deep learning was part of your work. What did you do?
- Tell me about a project where natural language processing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Computer vision, NLP, AI Safety, Deep learning, and Natural Language Processing. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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