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

Santa Clara, California, United States

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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

Key technologies and capabilities for this role

LLMPost-trainingAlignmentSynthetic Data GenerationReasoning AlgorithmsInference AlgorithmsDeep LearningNLPComputer VisionMulti-modal LearningKnowledge AcquisitionSelf-reflectionPublication

Questions & Answers

Common questions about this position

What is the base salary range for this position?

The base salary range is 224,000 USD - 356,500 USD, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered with this role?

You will be eligible for equity and benefits.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this Senior Research Scientist role?

A PhD in Computer Science or equivalent, at least 6 years of research experience in AI/ML/NLP with strong publications, knowledge of deep learning and NLP, background in LLM training/alignment/evaluation, and hands-on experience with large-scale model training using Python and PyTorch are required.

What is the team and culture like at NVIDIA for this research role?

You will work within an amazing and collaborative research team that publishes at top ML and NLP venues, with expertise in deep learning, NLP, and computer vision. NVIDIA has forward-thinking and productive people and values creative and autonomous individuals.

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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