NVIDIAResearch Scientist
NVIDIA is hiring a Research Scientist in Singapore, Singapore. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Builds AI ●●●● is how Level rates this research scientist role: the job is building AI systems.
- The posting mentions PyTorch, Python and C among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Research Scientist focusing on efficient GPU-accelerated generative AI, LLMs, and computer vision at NVIDIA.
NVIDIA is searching for outstanding AI researchers to join the NVIDIA Research Singapore team. We are dedicated to the development and optimization of GPU-accelerated efficient AI computing, covering language model, visual generation, and robotics. We focuses on pushing the boundaries of generative AI by designing models that are not only powerful but also efficient in terms of computational resources.
You will be part of an amazing collaborative research team that consistently publishes at the top venues in machine learning, robotics and computer vision. Your contributions have the chance to create real impact on our products.
What you'll be doing:
Research, design and accelerate novel generative AI models
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:
Excellent knowledge of LLM and foundation models
Publication at leading conferences (ie. CVPR, ICML, ICLR, ICCV, NeurIPS, etc)
2 years of experience.
Bachelor, master, or PhD degree in computer science or electrical engineering with strong research track records.
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
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. Looking forward to hear from you.
How we rate this
Research Scientist 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
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
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Tell me about a project where generative ai was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where llm was part of your work. What did you do?
- 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, Generative AI, Machine learning, LLM, 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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