Senior Research Scientist, Fundamental LLM Research for Knowledge, Reasoning, and Agents at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI ResearchIndustries

Requirements

  • PhD in Computer Science or Computer Engineering (or equivalent experience)
  • At least 6 years of research experience (demonstrated by publication records spanning across 5+ years) in artificial intelligence, machine learning, natural language processing, computer vision or related subjects
  • A history of research success exemplified by a strong publication record and awards
  • Excellent knowledge of theory and practice of deep learning and natural language processing
  • Background in LLM training, alignment, and evaluation
  • Excellent programming skills in Python and PyTorch
  • Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline)
  • Excellent communication skills

Responsibilities

  • Explore alternative avenues to unlock new capabilities in language models, including advanced knowledge acquisition techniques and innovative learning and decoding algorithms
  • Innovate new learning paradigms that incorporate agency into the training of language models, such as enabling self-reflection and targeted knowledge enhancement
  • Enable learning from multi-modalities beyond written text, such as acquiring physical commonsense knowledge through interactions with real-world environments
  • Publish original research
  • Collaborate with other team members and teams
  • Mentor interns
  • Speak at conferences and events
  • Work with product groups to transfer technology
  • Collaborate with external researchers

Skills

LLM
Post-training
Alignment
Synthetic Data Generation
Reasoning Algorithms
Inference Algorithms
Deep Learning
NLP
Computer Vision
Multi-modal Learning
Knowledge Acquisition
Self-reflection
Publication

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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