Senior ML Research Scientist
Rad AI170,000 - 220,000 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, ResearchIndustries
Requirements
Candidates must hold a PhD in Computer Science, Electrical Engineering, or a related field, or possess equivalent research experience. A minimum of three years of relevant research experience is required, along with a publication record in prestigious conferences and journals such as NeurIPS, ICLR, and CVPR. Strong expertise in generative AI techniques, particularly in image and video understanding, generation, and reasoning, is essential, as is proficiency in programming and coding.
Responsibilities
The Senior Deep Learning Researcher will be responsible for inventing and building groundbreaking techniques for efficient multi-modality model creation, publishing research findings, combining diffusion technologies with LLMs, contributing to NVIDIA’s AI enterprise software, collaborating with internal and external teams to drive research and development in multi-modal learning, and partnering with scientific organizations to integrate innovations into practical applications.
Skills
Generative AI
Diffusion Models
Image Understanding
Video Generation
Multi-modality
LLMs
Deep Learning
Programming
Coding
NeurIPS
ICLR
CVPR
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Key Metrics
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees