Research Scientist - AI
At a glance
Mid-level AI Research role at NVIDIA. Singapore, Pasir Panjang · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Develop and speed up new generative AI models, focusing on efficient use of computing resources
- Write and publish original research, with work spanning language models, visual generation or robotics
- Work with research colleagues and outside researchers on shared projects
- Guide interns and present your research at conferences and other events
- Move research results into product teams for further use
What you bring
- At least three years of experience and a strong research record
- A computer science or electrical engineering degree at the bachelor's, master's or doctoral level
- Strong command of LLMs and foundation models, plus publications at leading research conferences
- Programming proficiency in a rapid prototyping environment such as Python, and familiarity with machine learning frameworks such as PyTorch
Who this fits
This role suits a researcher focused on generative AI efficiency who can publish, collaborate and communicate research. The position is based in Singapore.
From the employer
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)
3+ 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.