Senior Research Scientist – Deep Learning at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Track record of research excellence with publications in top conferences and journals (e.g., NeurIPS, ICML, JMLR, ICLR, CVPR, ICCV, ECCV, AAAI, ACL, EMNLP)
PhD in Machine Learning, Computer Science, Engineering, or related disciplines
5+ years of relevant experience
Expertise in deep learning, machine perception, or related areas
Programming skills in Python and/or C/C++; fluency in modern deep learning frameworks like TensorFlow or PyTorch (CUDA is a plus)
Ability to lead independent research in machine learning while collaborating with peers
Ability to publish original research and speak at conferences and events
Strong communication skills and ability to work in a dynamic, research-focused team
History of mentoring junior engineers and interns (a huge plus)

Responsibilities

Conduct research in machine perception, including computer vision, sound understanding, vision and language
Work on transfer learning and few-shot learning
Perform research in deep learning and representation learning
Engage in embedded learning and learning on the edge
Publish research work and share code as open source

Skills

Deep Learning

Machine Learning

Computer Vision

PyTorch

TensorFlow

Python

C++

CUDA

Transfer Learning

Few-shot Learning

Representation Learning

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.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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