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NVIDIA

Research Scientist, Deep Learning and Computer Vision - New College Graduate

NVIDIA is hiring a Research Scientist, Deep Learning and Computer Vision - New College Graduate in Taipei, Taiwan. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this research scientist role Builds AI ●●●●: the job is building AI systems.
  • The posting mentions PyTorch, Python and CUDA among its tools and skills.
  • Level classes it as a mid-level role.
  • NVIDIA has 2,600+ other open roles on Level.

AI in this role

Conduct cutting-edge research in deep learning, computer vision, and generative AI as a Research Scientist at NVIDIA.

pytorchpythoncuda
computer-visiondeep-learninggenerative-aimultimodal-airesearch

NVIDIA is searching for several outstanding computer vision and deep learning researchers to join our research team. We are passionate about research that pushes boundaries but also has an impact in the real world. Specific areas we are excited by include but are not limited to computer vision for 3D vision, generative and multimodal AI (e.g., vision and language, audio-visual learning, etc.), as well as explainable and trustworthy AI. 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 a real impact on our products.

What you will be doing:

  • Research, design and implement novel computer vision and deep learning methods.

  • Publish original research.

  • Collaborate with other team members and teams.

  • Mentor interns.

  • Speak at conferences and events.

  • Transfer technology to product groups.

  • Collaborate with external researchers.

What we need to see:

  • Must hold a Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).

  • Excellent knowledge of theory and practice of computer vision and deep learning methods.

  • A track record of research excellence with your work published in top conferences and journals such as NeurIPS, ICML, ICLR, CVPR, PAMI, etc., and other research artifacts such as software projects.

  • Knowledge of common machine learning frameworks, such as PyTorch.

  • Excellent programming skills in some rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus.

  • 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

Research Scientist, Deep Learning and Computer Vision - New College Graduate at NVIDIA rates 95 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.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Computer visionDeep learningGenerative AIMultimodal AIResearchPyTorchPythonCUDA

Also common in research scientist jobs at this level

Pay

Typical research scientist job
$192k

This posting doesn't list pay. Use the typical research scientist figure when pay comes up. See research scientist jobs

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Tell me about a project where deep learning was part of your work. What did you do?
  3. Tell me about a project where generative ai was part of your work. What did you do?
  4. Tell me about a project where multimodal ai was part of your work. What did you do?
  5. Tell me about a project where research was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Computer vision, Deep learning, Generative AI, Multimodal AI, and Research. 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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