Research Scientist

🔥 0 minutes ago

🇸🇬 Singapore – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧬 Research Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Research, design, and accelerate novel generative AI models • Publish original research • Collaborate with team members and teams • Mentor interns • Speak at conferences and events • Transfer technology to product groups • Collaborate with external researchers

🎯 Requirements

• Excellent knowledge of LLM and foundation models • Publications at leading conferences such as CVPR, ICML, ICLR, ICCV, and NeurIPS • 2 years of experience • Bachelor, master, or PhD degree in computer science or electrical engineering with strong research track records • Excellent programming skills in a rapid prototyping environment such as Python • C++ and parallel programming (e.g., CUDA) is a plus • Knowledge of machine learning frameworks such as PyTorch • Excellent communication skills

🏖️ Benefits

• Opportunity to create real impact on NVIDIA products • Collaboration with external researchers • Conference and event speaking opportunities • Mentorship opportunities