Research Scientist

NVIDIA; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

NVIDIA is looking for AI researchers for the Research Singapore team. The role involves researching and designing generative AI models, publishing research, and collaborating with various teams. Candidates should have a strong background in LLMs and publishing at top conferences, with programming skills in Python and familiarity with machine learning frameworks like PyTorch. Join a collaborative environment at NVIDIA where your work can greatly impact AI products.

Qualifications

• 2 years of experience in AI research with strong research track records.
• Publication at leading conferences such as CVPR, ICML, or NeurIPS.

Responsibilities

• Research, design and accelerate novel generative AI models.
• Publish original research.
• Collaborate with team members and external researchers.
• Mentor interns and speak at conferences.

Skills

Knowledge of LLM and foundation models

Excellent programming skills in Python

Knowledge of PyTorch

Excellent communication skills

Education

Bachelor, master, or PhD degree in computer science or electrical engineering

Tools

C++

CUDA

Job description

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 focus 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 (e.g., 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